This document discusses transportation innovation in Texas from 1917 to the present. It provides a brief history of major innovations like highways, jets, rockets, light rail, and emerging technologies like electric vehicles, autonomous vehicles, and hyperloop. It outlines TxDOT's innovation program and technology task force, which work to identify and support emerging technologies. Finally, it provides examples of autonomous vehicle pilots occurring around the state and discusses the mission of the CAV task force to help Texas prepare for and integrate connected and autonomous vehicle advancements.
Intelligent Transport Systems in Hong KongCharles Mok
Charles Mok discusses the potential for intelligent transportation systems in Hong Kong. He outlines how information and communication technologies can be applied to transportation infrastructure and vehicles to improve mobility, safety, and sustainability. Some key benefits include gathering commuter travel data to divert traffic to less congested routes, using connected car technology and real-time traffic information to better manage transportation. The market for intelligent transportation systems is projected to grow significantly in coming years. Mok also discusses Hong Kong's existing transport information systems and apps, as well as plans to integrate systems, improve data sharing, install more traffic detectors, and launch a smart city study to help address transportation challenges through technology.
SC4 Workshop 1: Evangelos Mitsakis: Big data Sources for/from Intelligent Roa...BigData_Europe
This document discusses big data sources for intelligent road transport. It explains that even small datasets from individual vehicles can grow very large in aggregate when many vehicles are transmitting GPS data. Transportation agencies are now collecting petabytes of data on traffic patterns, public transit use, and vehicle locations using sensors, vehicle fleets, and smartphones. This big data is helping to optimize traffic management, asset maintenance, and traveler information services. Researchers are also able to conduct more accurate studies without relying on samples by analyzing vast amounts of real-world transportation data. The document provides examples of big data collection and use for traffic, public transit, and smart cities in Greece.
Back in 2015, the U.S. Department of Transportation (U.S. DOT), under the leadership of Secretary Anthony Foxx, has
leveraged nearly $350 million in public and private funds for smart city and advanced transportation technologies. Building on
Beyond Traffic 2045, the Smart City Challenge provided a spark for cities looking to revolutionize their transportation systems
to help improve people’s lives. Through the Smart City Challenge, the Department committed up to $40 million to one winning
city. In response, cities leveraged an additional $500 million in private and public funding to help make their Smart City visions
real. And, in October 2016, Secretary Foxx announced an additional $65 million in grants to support community-driven
advanced technology transportation projects in cities across America, including 4 of the finalists in the Smart City Challenge.
By challenging American cities to use emerging transportation technologies to address their most pressing problems, the
Smart City Challenge aimed to spread innovation through a mixture of competition, collaboration, and experimentation.
But the Smart City Challenge was about more than just technology. We called on mayors to define their most pressing
transportation problems and envision bold new solutions that could change the face of transportation in our cities by meeting
the needs of residents of all ages and abilities; and bridging the digital divide so that everyone, not just the tech-savvy, can be
connected to everything their city has to offer.
U.S. Intelligent Transportation Systems – Trends, Signals & Cases. Team Finla...Team Finland Future Watch
This document provides an overview of intelligent transportation systems in the United States. It discusses several pilots and demonstrations of vehicle-to-vehicle and vehicle-to-infrastructure technologies, such as the Safety Pilot Model Deployment and the SFpark and Midtown in Motion projects. It also covers emerging applications including automated and autonomous vehicles, as well as new mobility services and the development of applications that utilize open transportation data.
New horizons in transportation: mobility, innovation, economic development an...McKinsey & Company
New technologies are creating opportunities across various asset classes. Six trends are driving changes: 1) assets will be operated and monetized in real-time through data and connectivity, 2) automation is accelerating and expanding, 3) consumers are shifting to new mobility options, 4) logistics demand speed and transparency, 5) cybersecurity risks are growing, and 6) assets must be flexible, resilient and sustainable for environmental changes. These trends could significantly impact transport, energy, water, waste, and telecom assets. Technology offers public benefits like economic savings, sustainability, and safety, while also creating private investment opportunities.
The document discusses a webinar presented by the US Department of Transportation on connected vehicles and automation. It provides an overview of the Beyond Traffic: The Smart City Challenge, which will award $50 million to finalists to implement proposals integrating emerging technologies to address transportation challenges. The webinar covers connected vehicles, urban automation, and elements of a smart city vision including connected, automated vehicles and infrastructure. Technical challenges of automation are also discussed.
Intelligent Transport Systems in Hong KongCharles Mok
Charles Mok discusses the potential for intelligent transportation systems in Hong Kong. He outlines how information and communication technologies can be applied to transportation infrastructure and vehicles to improve mobility, safety, and sustainability. Some key benefits include gathering commuter travel data to divert traffic to less congested routes, using connected car technology and real-time traffic information to better manage transportation. The market for intelligent transportation systems is projected to grow significantly in coming years. Mok also discusses Hong Kong's existing transport information systems and apps, as well as plans to integrate systems, improve data sharing, install more traffic detectors, and launch a smart city study to help address transportation challenges through technology.
SC4 Workshop 1: Evangelos Mitsakis: Big data Sources for/from Intelligent Roa...BigData_Europe
This document discusses big data sources for intelligent road transport. It explains that even small datasets from individual vehicles can grow very large in aggregate when many vehicles are transmitting GPS data. Transportation agencies are now collecting petabytes of data on traffic patterns, public transit use, and vehicle locations using sensors, vehicle fleets, and smartphones. This big data is helping to optimize traffic management, asset maintenance, and traveler information services. Researchers are also able to conduct more accurate studies without relying on samples by analyzing vast amounts of real-world transportation data. The document provides examples of big data collection and use for traffic, public transit, and smart cities in Greece.
Back in 2015, the U.S. Department of Transportation (U.S. DOT), under the leadership of Secretary Anthony Foxx, has
leveraged nearly $350 million in public and private funds for smart city and advanced transportation technologies. Building on
Beyond Traffic 2045, the Smart City Challenge provided a spark for cities looking to revolutionize their transportation systems
to help improve people’s lives. Through the Smart City Challenge, the Department committed up to $40 million to one winning
city. In response, cities leveraged an additional $500 million in private and public funding to help make their Smart City visions
real. And, in October 2016, Secretary Foxx announced an additional $65 million in grants to support community-driven
advanced technology transportation projects in cities across America, including 4 of the finalists in the Smart City Challenge.
By challenging American cities to use emerging transportation technologies to address their most pressing problems, the
Smart City Challenge aimed to spread innovation through a mixture of competition, collaboration, and experimentation.
But the Smart City Challenge was about more than just technology. We called on mayors to define their most pressing
transportation problems and envision bold new solutions that could change the face of transportation in our cities by meeting
the needs of residents of all ages and abilities; and bridging the digital divide so that everyone, not just the tech-savvy, can be
connected to everything their city has to offer.
U.S. Intelligent Transportation Systems – Trends, Signals & Cases. Team Finla...Team Finland Future Watch
This document provides an overview of intelligent transportation systems in the United States. It discusses several pilots and demonstrations of vehicle-to-vehicle and vehicle-to-infrastructure technologies, such as the Safety Pilot Model Deployment and the SFpark and Midtown in Motion projects. It also covers emerging applications including automated and autonomous vehicles, as well as new mobility services and the development of applications that utilize open transportation data.
New horizons in transportation: mobility, innovation, economic development an...McKinsey & Company
New technologies are creating opportunities across various asset classes. Six trends are driving changes: 1) assets will be operated and monetized in real-time through data and connectivity, 2) automation is accelerating and expanding, 3) consumers are shifting to new mobility options, 4) logistics demand speed and transparency, 5) cybersecurity risks are growing, and 6) assets must be flexible, resilient and sustainable for environmental changes. These trends could significantly impact transport, energy, water, waste, and telecom assets. Technology offers public benefits like economic savings, sustainability, and safety, while also creating private investment opportunities.
The document discusses a webinar presented by the US Department of Transportation on connected vehicles and automation. It provides an overview of the Beyond Traffic: The Smart City Challenge, which will award $50 million to finalists to implement proposals integrating emerging technologies to address transportation challenges. The webinar covers connected vehicles, urban automation, and elements of a smart city vision including connected, automated vehicles and infrastructure. Technical challenges of automation are also discussed.
This document provides an overview of Intelligent Transport Systems (ITS) including a brief history, applications, and examples of ITS implementations in India. Some key points:
- ITS apply information technologies like sensors and computers to improve transport network operations, acquiring data on traffic and using it to guide traffic, enhance safety, and reduce costs.
- Common ITS applications include traffic monitoring, traveler information systems, vehicle control systems, and public transport management.
- Early ITS development began in the 1960s with systems in the US and Europe, with many countries now implementing ITS technologies and applications.
- India has piloted various ITS such as automatic traffic control systems in major cities, travel
This document summarizes a workshop on transformational transportation technologies. It began with an introduction to autonomous and connected vehicles, describing the key technologies like cellular connectivity, vehicle-to-vehicle communication, and lidar sensors that enable autonomous functionality. It then discussed emerging technologies like smart cities and finding funding. The rest of the document provided more depth on autonomous vehicles, connected vehicle systems, smart city initiatives like Columbus' winning proposal, and opportunities for funding deployment of new transportation technologies.
TTI’s Connected and Automated Vision for the Future
The Texas A&M Transportation Institute (TTI) shares an industry vision where no vehicles collide and people can use connected and automated transportation to transform how they live, work and interact with their environment. To achieve this vision, research, development and testing are needed on how vehicles, users and transportation infrastructure all work together. While automated vehicles are emerging and connected vehicle research is progressing, TTI believes the most significant gains in safety and mobility will occur at the nexus of these areas. TTI is creating a world-class research environment on the Texas A&M University campus where researchers can collaborate, new transportation paradigms can be created, and future mobility and safety can be showcased.
The document discusses using data fusion techniques to merge mobile phone mobility data with other data sources to gain a more complete understanding of transportation patterns and mobility. It provides examples of how fusing mobile phone data with toll plaza data, land use data, transportation surveys and traffic counts has improved vehicle classification, analysis of toll road demand, and creation of origin-destination matrices for transportation modeling. The challenges of modeling new transportation options like mobility as a service and connected autonomous vehicles are also discussed.
Shifting to Net Zero: A Case Study of New DelhiESD UNU-IAS
Group Presentation - 2022 ProSPER.Net Leadership Programme
16 December, 2022
Shifting to Net Zero: A Case Study of New Delhi
Presented by:
Kaidi Ru
Padmi Ranasinghe
Rajat
Yen Nguyen
Title: 21st Century Communities for 21st Century Citizens
As Bloomington-Normal and McLean County gear up to redefine our economy, we must recognise the drastic effects of technology on the future of our cities. And the future is now. Technology integration is especially challenging as it is ever evolving and impacting a wide array of services and infrastructure. More than ever before, many different organizations - public and private - will need to come together to help transform our cities to 21st century communities.
During the keynote, you will hear about how Kansas City, Missouri is collaborating with community, business, academic and technology stakeholders to integrate ever evolving technologies to create an open government and improve citizen services and engagement.
This years topic speaks to the core of BN Advantage - collaborative economic development efforts to create a vibrant and sustainable regional economy in Bloomington-Normal and McLean County.
This document discusses the emergence of open transport and traffic data as a new type of public infrastructure. It notes that digital technologies have disrupted transportation in the 2000s as cars disrupted it in the 1900s. For intelligent transportation systems to provide benefits, government and industry must facilitate competition and consumer-driven outcomes through robust and dynamic regulatory processes. Real-time traffic and map data needs to be openly available to support app developers and the public while protecting privacy. As cooperative intelligent transportation systems emerge, stakeholders will have new responsibilities to meet data requirements.
1) The transition to smarter transportation infrastructure may seem daunting but significant groundwork has already been done through systems like automated fare collection, electronic toll collection, and traffic management systems that have been in place for decades.
2) Pulling together these separate systems into a unified, seamless information architecture is now the task, ensuring all modes are connected from pedestrians to planes. This can be done without disruption by building on existing infrastructure.
3) Emerging technologies are enhancing all modes of transportation without requiring new physical infrastructure, through connectivity between users, vehicles, and systems using data, analytics, and mobile applications.
The document discusses open data and its impacts. It notes that open data must be freely accessible, in reusable formats, and under an open license. Open data can impact politics, society, and the economy by enabling open innovation and business opportunities. Implementing an open data policy faces challenges regarding policy, regulation, capacity, and technology. The Open Data Charter provides principles for open data policies. OpenDataSoft is a company that helps make data scale and create value through visualizations, APIs, and enabling data reuse. It discusses using open data in areas like transportation, smart cities, and performance management.
Modern Transport problems arise when it is difficult behavior in A system according to the best possible pattern, being affected by traffic, human errors or accidents. In such cases, unpredictability can be helped by AI SERVICES
Yinhai Wang - Smart Transportation: Research under Smart Cities Context - GCS16KC Digital Drive
This document discusses challenges and opportunities in smart transportation research under smart cities. It outlines how transportation is a major issue impacting environment, safety, and public health. Smart cities and transportation big data can help address key issues of efficiency, sustainability and safety through data analytics. The document presents examples of extracting transportation data from mobile networks and DRIVE Net, a system for data sharing, visualization, and analysis to support e-science investigations in transportation. Research needs include developing methods to utilize spatial and temporal big data to support analysis and decision making in transportation.
The document discusses intelligent transportation systems (ITS) which use information technology to make transportation systems more efficient. ITS have been shown to significantly improve transportation system performance by reducing congestion and increasing safety. However, the US lags global leaders like Japan, Singapore, and South Korea in deploying ITS. The document argues that for the US to achieve an effective ITS system, the federal government must take a greater leadership role in both research and development as well as deployment, similar to how it led the development of the interstate highway system.
The connected automated vehicle (CAV) revolution is happening now. But before it becomes a reality, the technologies that make it possible have to be vetted, validated and successfully implemented.
The role of open data in driving sustainable mobility in nine smart citiesPiyush Yadav
The work was presented in European Conference on Information Systems (ECIS 2017) , at Guimaraes Portugal. The work presents a comprehensive survey results on open data focused in mobility domain in nine smart cities like Barcelona, Dublin, NewYork etc.
Next Generation Intelligent Transportation: Solutions for Smart CitiesUGPTI
This March 1 seminar presentation provided an overview of key technology trends that are steadily transforming our transportation system. Bridgelall provided a sample of research needs that exposed the complexities and interdependencies between transportation supply, transportation demand, performance measures, and policy making.
BCG's new report, produced in collaboration with the World Economic Forum, describes four solutions that address the most pressing challenges in travel, transportation, tourism, and trade: http://on.bcg.com/1j7mjtO
Connected Lives: Where Smart Vehicles Meet the Intelligent RoadCognizant
The digital highway promises to enable an ever-expanding ecosystem encompassing intelligent transportation systems, smart cities and logistics systems, optimizing productivity and performance for businesses and individuals.
Autonomous cars self-driving cars-driverless cars market 2020 to 2030Chandan Chaudhary
The Autonomous cars/Self-Driving Cars/Driverless Cars Market report offers a deep analysis of the Market Research Industry. It demonstrates a rapid summary of industry data and a key catalog of the market. The report highlights well-known performers from the Autonomous cars/Self-Driving Cars/Driverless Cars Market beside contribution to the market vocation progress within the estimated time. KACSK Market Research Report covers recent improvements while predicting the expansion of the players of the market.
Below is the detailed list of some of the major investments in the run of driverless technology
1. Ford $1 billion investment in Argo AI
2. Toyota Research Institute $1 billion
3. Uber purchased Otto for $680 million
4. GM acquired CRUZE AUTOMATION for $580 million
5. Intel to buy Mobileye for $15.3 billion
6. GM invests $500 million in LYFT- drive sharing startup
7. VOLVO and Uber $300 million JV
8. Hyundai $1.7 billion R & D
9. Intel $250 million in driverless AI tech.
This document discusses intelligent transportation systems and vehicle-to-everything (V2X) communication. It addresses challenges facing transportation like urban growth, increased motorization, and road safety issues. It assesses requirements for V2X applications and estimates data needs and communication distances using the 5.850-5.925 GHz band harmonized by the ITU. The document concludes that transportation communication should use a separate network from mobile networks and that India has allocated this band for intelligent transportation systems in its national frequency plan in line with harmonization efforts.
1) The presentation discusses how disruptive technologies will impact urban mobility and deliver innovative solutions to support smart cities.
2) It outlines challenges like increasing traffic, costs of congestion, and emissions, and opportunities from technologies like mobile internet, IoT, cloud computing and autonomous vehicles.
3) The presentation argues that integrating data from networked infrastructure can optimize operations through predictive analytics and transform conventional approaches to mobility.
This document provides an overview of Intelligent Transport Systems (ITS) including a brief history, applications, and examples of ITS implementations in India. Some key points:
- ITS apply information technologies like sensors and computers to improve transport network operations, acquiring data on traffic and using it to guide traffic, enhance safety, and reduce costs.
- Common ITS applications include traffic monitoring, traveler information systems, vehicle control systems, and public transport management.
- Early ITS development began in the 1960s with systems in the US and Europe, with many countries now implementing ITS technologies and applications.
- India has piloted various ITS such as automatic traffic control systems in major cities, travel
This document summarizes a workshop on transformational transportation technologies. It began with an introduction to autonomous and connected vehicles, describing the key technologies like cellular connectivity, vehicle-to-vehicle communication, and lidar sensors that enable autonomous functionality. It then discussed emerging technologies like smart cities and finding funding. The rest of the document provided more depth on autonomous vehicles, connected vehicle systems, smart city initiatives like Columbus' winning proposal, and opportunities for funding deployment of new transportation technologies.
TTI’s Connected and Automated Vision for the Future
The Texas A&M Transportation Institute (TTI) shares an industry vision where no vehicles collide and people can use connected and automated transportation to transform how they live, work and interact with their environment. To achieve this vision, research, development and testing are needed on how vehicles, users and transportation infrastructure all work together. While automated vehicles are emerging and connected vehicle research is progressing, TTI believes the most significant gains in safety and mobility will occur at the nexus of these areas. TTI is creating a world-class research environment on the Texas A&M University campus where researchers can collaborate, new transportation paradigms can be created, and future mobility and safety can be showcased.
The document discusses using data fusion techniques to merge mobile phone mobility data with other data sources to gain a more complete understanding of transportation patterns and mobility. It provides examples of how fusing mobile phone data with toll plaza data, land use data, transportation surveys and traffic counts has improved vehicle classification, analysis of toll road demand, and creation of origin-destination matrices for transportation modeling. The challenges of modeling new transportation options like mobility as a service and connected autonomous vehicles are also discussed.
Shifting to Net Zero: A Case Study of New DelhiESD UNU-IAS
Group Presentation - 2022 ProSPER.Net Leadership Programme
16 December, 2022
Shifting to Net Zero: A Case Study of New Delhi
Presented by:
Kaidi Ru
Padmi Ranasinghe
Rajat
Yen Nguyen
Title: 21st Century Communities for 21st Century Citizens
As Bloomington-Normal and McLean County gear up to redefine our economy, we must recognise the drastic effects of technology on the future of our cities. And the future is now. Technology integration is especially challenging as it is ever evolving and impacting a wide array of services and infrastructure. More than ever before, many different organizations - public and private - will need to come together to help transform our cities to 21st century communities.
During the keynote, you will hear about how Kansas City, Missouri is collaborating with community, business, academic and technology stakeholders to integrate ever evolving technologies to create an open government and improve citizen services and engagement.
This years topic speaks to the core of BN Advantage - collaborative economic development efforts to create a vibrant and sustainable regional economy in Bloomington-Normal and McLean County.
This document discusses the emergence of open transport and traffic data as a new type of public infrastructure. It notes that digital technologies have disrupted transportation in the 2000s as cars disrupted it in the 1900s. For intelligent transportation systems to provide benefits, government and industry must facilitate competition and consumer-driven outcomes through robust and dynamic regulatory processes. Real-time traffic and map data needs to be openly available to support app developers and the public while protecting privacy. As cooperative intelligent transportation systems emerge, stakeholders will have new responsibilities to meet data requirements.
1) The transition to smarter transportation infrastructure may seem daunting but significant groundwork has already been done through systems like automated fare collection, electronic toll collection, and traffic management systems that have been in place for decades.
2) Pulling together these separate systems into a unified, seamless information architecture is now the task, ensuring all modes are connected from pedestrians to planes. This can be done without disruption by building on existing infrastructure.
3) Emerging technologies are enhancing all modes of transportation without requiring new physical infrastructure, through connectivity between users, vehicles, and systems using data, analytics, and mobile applications.
The document discusses open data and its impacts. It notes that open data must be freely accessible, in reusable formats, and under an open license. Open data can impact politics, society, and the economy by enabling open innovation and business opportunities. Implementing an open data policy faces challenges regarding policy, regulation, capacity, and technology. The Open Data Charter provides principles for open data policies. OpenDataSoft is a company that helps make data scale and create value through visualizations, APIs, and enabling data reuse. It discusses using open data in areas like transportation, smart cities, and performance management.
Modern Transport problems arise when it is difficult behavior in A system according to the best possible pattern, being affected by traffic, human errors or accidents. In such cases, unpredictability can be helped by AI SERVICES
Yinhai Wang - Smart Transportation: Research under Smart Cities Context - GCS16KC Digital Drive
This document discusses challenges and opportunities in smart transportation research under smart cities. It outlines how transportation is a major issue impacting environment, safety, and public health. Smart cities and transportation big data can help address key issues of efficiency, sustainability and safety through data analytics. The document presents examples of extracting transportation data from mobile networks and DRIVE Net, a system for data sharing, visualization, and analysis to support e-science investigations in transportation. Research needs include developing methods to utilize spatial and temporal big data to support analysis and decision making in transportation.
The document discusses intelligent transportation systems (ITS) which use information technology to make transportation systems more efficient. ITS have been shown to significantly improve transportation system performance by reducing congestion and increasing safety. However, the US lags global leaders like Japan, Singapore, and South Korea in deploying ITS. The document argues that for the US to achieve an effective ITS system, the federal government must take a greater leadership role in both research and development as well as deployment, similar to how it led the development of the interstate highway system.
The connected automated vehicle (CAV) revolution is happening now. But before it becomes a reality, the technologies that make it possible have to be vetted, validated and successfully implemented.
The role of open data in driving sustainable mobility in nine smart citiesPiyush Yadav
The work was presented in European Conference on Information Systems (ECIS 2017) , at Guimaraes Portugal. The work presents a comprehensive survey results on open data focused in mobility domain in nine smart cities like Barcelona, Dublin, NewYork etc.
Next Generation Intelligent Transportation: Solutions for Smart CitiesUGPTI
This March 1 seminar presentation provided an overview of key technology trends that are steadily transforming our transportation system. Bridgelall provided a sample of research needs that exposed the complexities and interdependencies between transportation supply, transportation demand, performance measures, and policy making.
BCG's new report, produced in collaboration with the World Economic Forum, describes four solutions that address the most pressing challenges in travel, transportation, tourism, and trade: http://on.bcg.com/1j7mjtO
Connected Lives: Where Smart Vehicles Meet the Intelligent RoadCognizant
The digital highway promises to enable an ever-expanding ecosystem encompassing intelligent transportation systems, smart cities and logistics systems, optimizing productivity and performance for businesses and individuals.
Autonomous cars self-driving cars-driverless cars market 2020 to 2030Chandan Chaudhary
The Autonomous cars/Self-Driving Cars/Driverless Cars Market report offers a deep analysis of the Market Research Industry. It demonstrates a rapid summary of industry data and a key catalog of the market. The report highlights well-known performers from the Autonomous cars/Self-Driving Cars/Driverless Cars Market beside contribution to the market vocation progress within the estimated time. KACSK Market Research Report covers recent improvements while predicting the expansion of the players of the market.
Below is the detailed list of some of the major investments in the run of driverless technology
1. Ford $1 billion investment in Argo AI
2. Toyota Research Institute $1 billion
3. Uber purchased Otto for $680 million
4. GM acquired CRUZE AUTOMATION for $580 million
5. Intel to buy Mobileye for $15.3 billion
6. GM invests $500 million in LYFT- drive sharing startup
7. VOLVO and Uber $300 million JV
8. Hyundai $1.7 billion R & D
9. Intel $250 million in driverless AI tech.
This document discusses intelligent transportation systems and vehicle-to-everything (V2X) communication. It addresses challenges facing transportation like urban growth, increased motorization, and road safety issues. It assesses requirements for V2X applications and estimates data needs and communication distances using the 5.850-5.925 GHz band harmonized by the ITU. The document concludes that transportation communication should use a separate network from mobile networks and that India has allocated this band for intelligent transportation systems in its national frequency plan in line with harmonization efforts.
1) The presentation discusses how disruptive technologies will impact urban mobility and deliver innovative solutions to support smart cities.
2) It outlines challenges like increasing traffic, costs of congestion, and emissions, and opportunities from technologies like mobile internet, IoT, cloud computing and autonomous vehicles.
3) The presentation argues that integrating data from networked infrastructure can optimize operations through predictive analytics and transform conventional approaches to mobility.
Similar to Future-of-Transportation-Presentation.pptx (20)
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECTjpsjournal1
The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
Software Engineering and Project Management - Introduction, Modeling Concepts...Prakhyath Rai
Introduction, Modeling Concepts and Class Modeling: What is Object orientation? What is OO development? OO Themes; Evidence for usefulness of OO development; OO modeling history. Modeling
as Design technique: Modeling, abstraction, The Three models. Class Modeling: Object and Class Concept, Link and associations concepts, Generalization and Inheritance, A sample class model, Navigation of class models, and UML diagrams
Building the Analysis Models: Requirement Analysis, Analysis Model Approaches, Data modeling Concepts, Object Oriented Analysis, Scenario-Based Modeling, Flow-Oriented Modeling, class Based Modeling, Creating a Behavioral Model.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...IJECEIAES
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024Sinan KOZAK
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Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
Batteries -Introduction – Types of Batteries – discharging and charging of battery - characteristics of battery –battery rating- various tests on battery- – Primary battery: silver button cell- Secondary battery :Ni-Cd battery-modern battery: lithium ion battery-maintenance of batteries-choices of batteries for electric vehicle applications.
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The CBC machine is a common diagnostic tool used by doctors to measure a patient's red blood cell count, white blood cell count and platelet count. The machine uses a small sample of the patient's blood, which is then placed into special tubes and analyzed. The results of the analysis are then displayed on a screen for the doctor to review. The CBC machine is an important tool for diagnosing various conditions, such as anemia, infection and leukemia. It can also help to monitor a patient's response to treatment.
21. Transportation Innovation in Texas January 16, 2020
Texas Technology Task Force
Est 2013 - 83rd Texas Legislature
Advancing the development of a high-performance transportation
system to position Texas as the leading nexus of economic activity
and technological innovation
Continuously identifying emerging technologies 3-15 years out, that
may impact transportation
Support TxDOT by outlining clear, actionable strategies
22. Transportation Innovation in Texas January 16, 2020
Interconnected
Applications
Next
Generation
Vehicles &
Energy
Information &
Communications
Service-Based
Platforms
Other
Technologies
Materials &
Additive
Manufacturing
Infrastructure
& Construction
Texas Technology Task Force
22
Smart Cities and Smart State Information & Communications
Cybersecurity
Cloud Computing
Flexible work
Big Data and AI Augmented Analytics
Open Data Portals
Crowdsourcing
Artificial Intelligence and Robotics
RFID
Blockchain
Collaborative telepresence
Advanced networks
Real-time Language Translation
Service-Based Platforms
Location-Based Services
Transportation Network Services
Mobility as a Service
Other Technologies
Augmented Vision / Reality
Virtual Reality / Holography
Wearables
Machine Robotics
Exo-skeletons
Brain – Machine interfaces
Next Generation Vehicles
Automated Vehicles
Connected Vehicles
Electric Vehicles
Unmanned Aerial Vehicles
Scooters, E-bikes
Personal Delivery Devices
Infrastructure & Construction
Infrastructure Enhancements
Intelligent Transportation Systems
Construction Techniques
Equipment
Alternative energy options
Resilience improvements
Materials & Additive Manufacturing
Self-Healing Pavements
Nanotechnologies
Piezoelectrics
3D Printing
Solar Roadways
23. Transportation Innovation in Texas January 16, 2020
TxDOT Innovative Research Program
https://ctr.utexas.edu/library/
Research
Projects
Implementation
Projects
Product
Evaluation
Local and Technical
Assistance Program
24. Transportation Innovation in Texas January 16, 2020
Texas State Transportation Innovation Council
In 2010, FHWA implemented the Every Day Counts (EDC)
initiative to shorten project delivery and expedite the deployment
of proven technologies.
FHWA introduced the STIC concept to state DOTs and industry
partners as a process to facilitate the EDC initiatives.
March 22, 2016 - TxDOT and FHWA Texas Division signs the
Texas STIC charter.
9th meeting December 5th, 2019 in Austin.
Focusing on Local Technical Assistance Program to disseminate
National and TxDOT research implementation to Texas local
governments
http://www.txstic.org/
25. Transportation Innovation in Texas January 16, 2020
From a Smart City to a Smart State
• Mobility summit 2016 in Austin, TX, 2017 in Houston
2018 in Arlington, 17-19 November 2019 in San Antonio
• Teams representing 11 Texas cities/regions and 3
research institutions
• Over 30 different transportation agencies
• Industry sponsors (data, OEMs, AEP firms, others)
• Use cases identified by each team
• Combined approach to grants and programs: AV
Proving grounds, ATCMTD
• Shared expertise and solutions
• New mobility, real-time data, common TMS, seamless
mobility, freight and logistics, energy, resiliency, equity
Action network of local, regional, and state agencies and research institutions who are
committed to addressing community mobility challenges by creating a platform for innovation
http://txinnovationalliance.org/
Texas Innovation Alliance
26. Transportation Innovation in Texas January 16, 2020
Texas Innovation Opportunities (just some rough comparisons)
26
148K sq mi
153K sq mi
Growing
population
Diversity
Workforce
Research and
Education Base
Test Environment
Common regulatory
framework
Multimodal Freight
Economics engine and
business climate
Variety of business models
Geography
27. Transportation Innovation in Texas January 16, 2020
ARLINGTON | AUSTIN | BRYAN / COLLEGE STATION | CORPUS CHRISTI | COLUMBUS | DALLAS
DENVER | DETROIT | EL PASO | FRISCO | FT WORTH | HOUSTON | KANSAS CITY | OMAHA
PITTSBURGH | PORTLAND | SAN ANTONIO | SAN FRANCISCO | SEATTLE | SOUTH BEND
Texas Innovation Alliance and Smart Cities Lab
28. Transportation Innovation in Texas January 16, 2020
Equity & Access
Tackle the
challenge of
providing
affordable and
reliable mobility
service to enable
the elderly and
disabled to access
healthcare services.
Seamless Mobility
Unlock the 1st/last
mile and develop a
multimodal
payment platform
that enables
travelers to tap into
a marketplace of
mobility options.
Energy &
Sustainability
Forge strategies for
installing charging
infrastructure,
incentivizing fleet
electrification, and
shifting mode
share.
Real-Time Data
Develop a standard
for
construction/lane
closures/ incidents
and prioritize
readiness
investments for
CAV infrastructure.
Freight & Logistics
Improve goods
movement by
enabling truck
platooning,
supporting port
operations, and
securely exchanging
public-private data.
Automated Vehicles for Aging
& Disability Populations
Dockless Mobility Single Payment Platform Mobility Data Lakes
MONTHLY DEEP-DIVES
Texas Innovation Alliance and Smart Cities Lab Communities of Practice
29. Transportation Innovation in Texas January 16, 2020
What’s happening around the state?
Pilot or Company
Name
Location Details
drive.ai Arlington and Frisco 2018-2019; on-street passenger shuttle deployment
Applied Information Arlington Test deployment of CV applications including pedestrian proximity,
school zones, and approaching emergency vehicles
EasyMile 2017-2018; off-street passenger shuttle deployment
Marble 2018-present; mapping of sidewalks as route for delivery robots
underway per City Council resolution
Trafficast Test deployment of DSRC roadside units to evaluate red light
violation warning application
Uber Dallas Air taxis (Uber Elevate)
First/last mile autonomy tied with DART, mapping
INRIX AV Road Rules Austin Development of a platform to assign, validate, and manage traffic
rules and restrictions for AVs
Autonomous
Deliveries
2017 Austin City Council resolution to authorize a pilot of
autonomous, personal delivery devices
DSRC Deployment Deployment of DSRC technology at five intersections in downtown
and East Austin
Ford AV deployment mapping for passenger, delivery use cases
Volans-i Long-range (100-mile) drones test business-to-business delivery
demonstration
30. Transportation Innovation in Texas January 16, 2020
What’s happening around the state?
Pilot or Company
Name
Location Details
Make Every Day a
Game Day
Bryan/College Station Proposed TTI autonomous passenger shuttle deployment building
on previous work on signal integration and other connectivity
improvements
Audi Real-Time Data
Sharing
Frisco Provision of V2I technology to Audi vehicles at traffic signals in
partnership with Traffic Technology Services
DSRC Deployment Installation of DSRC radios throughout the city to share SPaT data
with AVs and test V2X applications
Houston METRO
/TSU Shuttle
Houston 2019-present; autonomous shuttle pilot at Texas Southern
University, expansion to METRO stations
ConnectSmart ACTMTD grant supporting travel demand activities using app-
based incentives and integrating with TxDOT’s TranStar control
system in order to coordinate routing (i.e., Google/Waze)
Nuro/Kroger 2019-present; pilot autonomous grocery delivery
AV RFI San Antonio RFI for AV pilots
Udelv/H-E-B 2019-present; pilot autonomous grocery delivery
TuSimple I-10 Autonomous USPS trailer pilot between Phoenix and Dallas
(Unnamed) I-45, I-10, I-20, I-30 Several AV freight companies conducting initial tests along
corridors with intent to expand in 1-5 years
31. Transportation Innovation in Texas January 16, 2020
CAV Task Force Mission and Functions
Prepare the state for Connected and Autonomous (CAV) advancements
(good with the bad)
– The primary coordination and information source for CAV tech use and
testing in Texas;
– Exploring and becoming the source to inform the public and leaders on
current and future CAV advancements and what they mean in Texas.
Report on current status, future concerns and how these technologies
are changing future quality of life and well-being;
– A champion making Texas a leader in knowing how to best prepare and
wisely integrate these technologies in a positive way. Promote positive
development and experiences for the state.
Scope: Surface and Air transportation connected and autonomous vehicle
technology and enablers such as telecoms, and future infrastructure.
31
32. Transportation Innovation in Texas January 16, 2020
Texas Connected Vehicle Vision
The Texas vision is to create a sustainable
connected vehicle environment covering the 865-
mile Texas Triangle (including extension to Laredo)
to support V2V and V2I safety and mobility
applications
Then extend along east-west interstates, starting
with I-10
TxDOT and its partners believe on-going success
and support will be achieved by:
– Promoting economic efficiency and safety of
commercial vehicles and freight first, followed by
passenger cars and other users
– Creating Day One benefits through use of
aftermarket devices and integration with existing
on-board technologies
– Minimizing infrastructure costs to state and local
agencies
33. Transportation Innovation in Texas January 16, 2020
Texas Connected Freight Corridors Project
Texas Proposal: Equip “Texas Triangle” with connected
infrastructure technology (I-35, I-10, I-45)
Equip 1,000 trucks with on-board technology
– HEB flagship partner, approaching others for proposal
Provide freight operators and drivers with info and warnings
to improve safety and mobility:
– Warnings for traffic queues, work zones, low bridge
heights, weather (heavy rain, ice, fog), wrong-way drivers
– Equipped truck will get braking warnings from other
equipped trucks
– Info on traffic conditions, route guidance, border wait
times
Partnering with Cities of Austin, Laredo, San Antonio,
Richardson, Harris County and NCTCOG
34. Transportation Innovation in Texas January 16, 2020
I-10 Connected Freight Corridor Coalition
34
• Includes Texas, California, Arizona and New Mexico
• Runs from ports in California to Houston, Texas
• TxDOT’s role is to share resources with participating states to ensure efforts
are not duplicated and to freely share information with participating states
35. Transportation Innovation in Texas January 16, 2020
What Freight Programs Could Be Possible Along Corridor?
Freight Stakeholders have identified the following freight
programs to be considered for the Corridor ConOps:
Corridor-wide
information on
incidents, work
zones and weather.
Interstate credentialing
and permitting for regular
and oversize/overweight
movements.
Truck parking and
reservation
systems.
Transponder and
roadside detection
technology for safety
and weight
enforcement.
Truck platooning
and other
commercial motor
vehicle
automation.
41. Transportation Innovation in Texas January 16, 2020
TxDOT Innovative Research Program
Align to Strategy, Vision, Goals
Several functional areas:
– Construction and Maintenance
– Structures and Hydraulics
– Planning and Environment
– Safety and Operations
– Strategy and Innovation
Traffic Management Systems, Intelligent Transportation Systems,
Connected and Autonomous Vehicles; Unmanned Aerial Systems;
Automated Construction
https://ctr.utexas.edu/library/
42. Transportation Innovation in Texas January 16, 2020
TxDOT Innovative Research Program
Commercial Truck Platooning – Level 2 Automation
Assessment of Innovative and Automated Freight Systems and
Development of Evaluation Tools
Bringing Smart Transportation to Texas: Ensuring the Benefit of a
Connected and Autonomous Transport System in Texas
Connected Vehicle Wrong-Way Driving Detection & Mitigation
Demonstration
Advancing Innovative High-Speed Remote-Sensing Highway
Infrastructure Assessment Using Emerging Technologies
Automated and Connected Vehicle Test Bed to Improve Transit, Bicycle,
and Pedestrian Safety
Communications and Radar-Supported Transportation Operations and
Planning (CAR-STOP)
https://ctr.utexas.edu/library/
43. Transportation Innovation in Texas January 16, 2020
National technology efforts
USDOT:
– Comprehensive Management Plan for Automated Vehicle Initiatives
– Preparing for the Future of Transportation: Automated Vehicles 3.0
– Automated Driving Systems: A Vision for Safety 2.0
FHWA National Dialog on Highway Automation
AASHTO Committee on Transportation System Operation (CTSO)
– Cooperative and Automated Transportation (CAT) Coalition
– AASHTO Connected & Automated Vehicle Working Group
– Soon to be formed Task Force on Highway Automation (develop a National Strategy on
Highway Automation, through forming a Pooled-fund study to do this (led by Tennessee
DOT)) (vision, business case, goals, benefits, ROI, legislative strategy, etc.)
State Automated Vehicle Task Forces Community of Practice
Multi-state Coalition on Highway Automation Readiness (MCHAR)
AAMVA: Guidelines for Testing Drivers in Vehicles with Advanced Driver Assistance
Systems
Comments to FHWA and NHTSA; Congressional Testimony
44. Transportation Innovation in Texas January 16, 2020
National technology efforts
National Operations Center of Excellence (NOCoE)
Connected Vehicle Pooled Fund Study
National Cooperative Highway Research Program (NCHRP) Projects
– “Impacts of CVs and AVs on State and Local Transportation Agencies“
– “Framework for Managing Data from Emerging Transportation Technologies to
Support Decision-Making”
– “Connected Road Classification System (CRCS) Development”
– “Algorithms to Convert Basic Safety Messages into Traffic Measures”
Cooperative Automation Research Mobility Applications (CARMA)
– An open source software platform initiated by FHWA to enable the testing and
evaluation of cooperative automation concepts for improving safety and increasing
infrastructure efficiency.
– Vision of cooperative automation as an extension of TSMO
Intelligent Transportation Society of America (ITSA) and Transportation Research
Board (TRB) committees
45. Transportation Innovation in Texas January 16, 2020
Status of Federal Legislation
45
Both the US House and Senate have produced legislation to address issues related
to bringing HAVs to market.
– The House bill, H.R. 3388, the SELF DRIVE Act (or Safely Ensuring Lives Future
Deployment and Research in Vehicle Evolution Act) passed the House by voice
vote on September 6, 2017.
– The Senate bill, S. 1885, the AV START Act (or American Vision Through Safer
Transportation through Advancement of Revolutionary Technologies Act) was
reported out of the Senate Committee on Commerce, Science, and Transportation,
and was pending consideration by the Senate.
– Neither of these bills addressed vehicles weighing more than 10,000 pounds
(trucks or buses).
– Heavy vehicles were expected to be considered in separate legislation.
– The bills didn’t progress, they’re starting all over with the new Congress, seeking a
bi-partisan bill in staff before the houses consider.
46. Transportation Innovation in Texas January 16, 2020
State of Texas Legislation regarding automation
SB 2205, 85th Legislature (2017)
SB 2205 creates a legal framework for the operation of automated motor vehicles in Texas and
explicitly allows an automated motor vehicle to operate on highways in the state, with or without a
human operator, under certain circumstances.
HB 1791, 85th Legislature (2017)
HB 1791 authorizes an operator of a vehicle equipped with a connected braking system that is
following another vehicle equipped with that system to be assisted by the connected braking
system to maintain a clear distance or “sufficient space.”
SB 969, 86th Legislature (2019)
SB 969 governs the operation of a personal delivery or mobile carrying device in a pedestrian area
or on the side or shoulder of a highway
46
Policy Brief: How Does Texas Law Change the Legal Landscape for Automated Vehicles?
https://static.tti.tamu.edu/tti.tamu.edu/documents/PRC-2017-5.pdf
47. Transportation Innovation in Texas January 16, 2020
The City of Frisco Transportation Strategic Plan (2018), addresses CV
applications like automated traffic signal performance management, adaptive
traffic signal control, work zone connectivity, DSRC infrastructure. and vertical
takeoff and landing (VTOL) aircraft services.
The City of Austin’s Smart Mobility Roadmap (2017) lays out an approach to CAV
technology, shared mobility, and electric vehicles. The document includes
implementation recommendations related to engaging/educating stakeholders,
hiring an executive level electric vehicle/CAV officer, developing a master plan for
emerging technologies, testing 5G and DSRC technology for V2I reciprocal
safety messages, and creating interdisciplinary work groups for CAVs,
technology commercialization, and economic development.
Many cities have created Climate Action Plans (Austin, Houston)
What are some examples I can use?
48. Transportation Innovation in Texas January 16, 2020
Several of our 25 MPOs Metropolitan Transportation Plans (MTPs) discuss
CAVs, their anticipated effects on the system, and recommendations for
preparing for CAVs:
– passive (i.e., monitoring technological advancement)
– active (i.e., incorporating changes in plan updates, implementing higher
roadway maintenance standards to support AV travel)
– key metrics such as: emissions, vehicle miles traveled (VMT), parking spaces
per vehicle, vehicle occupancy, crash rates and severity, average trip length,
vehicle ownership, transportation costs, highway maintenance costs, and
transit ridership.
The Waco MPO, Subcommittee on Connected and Automated Vehicles, is
actively planning for CAVs. The subcommittee has been tasked with
understanding timing, opportunities, benefits, and risks; and estimating how
CAVs will affect travel behavior, land use, congestion
Maricopa Association of Governments (MAG) in the Phoenix region
What are some examples I can use?
49. Transportation Innovation in Texas January 16, 2020
North Central Texas Council of Government (NCTCOG):
– Autonomous Vehicles 1.0 program, supported the development of AV
deployments in Arlington and Frisco; directed other grants to help cities
improve traffic signal connectivity; and encouraged cities to provide traffic
information to the Waze navigation system.
– Autonomous Vehicles 2.0, $1.5 million planning assistance per jurisdiction to
deploy AVs and autonomous freight delivery.
– Use of the Tom Landry Highway (I-30 between Dallas and Fort Worth) as a
national test bed for automation and connectivity.
• $1 million in seed funding to support pilot AV projects in the corridor, focus
on increasing the capacity, speed, reliability, and safety of managed lanes.
• It features contraflow express lanes isolated from general traffic that can be
used for testing at off-peak hours without affecting toll revenue.
What are some examples I can use?
50. Transportation Innovation in Texas January 16, 2020
AV Legislation & Executive Orders across the U.S.
50
Enacted Legislation
Executive Order
Both
None
Legend
Source: National
Conference of State
Legislatures (NCSL)
Accessed 23 October 2019
51. Transportation Innovation in Texas January 16, 2020
List of states with advisory panels
TxDOT – AV Task Force Info; Oct. 2019
WA
OR
CA
MT
ID
NV
AZ
UT
WY
CO
NM
TX
OK
KS
NE
SD
ND
MN
IA
MO
AR
LA
MS
AL
GA
FL
SC
TN
NC
IL
WI MI
OH
IN
KY
WV VA
PA
NY
ME
VT
NH
NJ
DE
MD
Washington D.C.
MA
CT
RI
AK
HI
= Law Passed
= Executive Order
= Created w/o directive
= None Considered
= More than one
52. Transportation Innovation in Texas January 16, 2020
UAS Legislation & Executive Orders across the U.S.
52
Source: NCSL
Accessed 23 October 2019
Phased approach
T3f is an innovative program
We’ll talk more about alliance later
Identify common goals
Collaborative environment
Reverse pitch
Find innovative solutions from the tech community
These are the major functional areas raised by stakeholders at workshops and in interviews:
Interstate credentialing and permitting for regular and oversize/overweight movements—one challenge will be how to share permitting information as we consider regulatory harmonization
Truck parking and reservation systems—a critical need to integrate public and private parking capacity as new federal Hours of Service logging rules make truckers more sensitive to rest cycles
Transponder and roadside detection technology for safety and weight enforcement—expanding the number of locations that recognize the systems
Truck platooning and other commercial motor vehicle automation—expanding the ability of carriers to test platooning and other automation steps along the corridor
Corridor-wide information on incidents, work zones and weather—traveler information systems are crucial to motor carriers meeting shipper demands amidst complicated hours of service limitations, they want advance information to help dispatching and route alternatives.
Again, if you want additional information on the project, please let me know and I will have our project team contact you.
Oklahoma Statutes. TITLE 47. MOTOR VEHICLES. §47-11-310. Following too closely. Reasonable and prudent, sufficient space, 2 x 6 wheels 300 feet.
Compliance:
Inspector Training
Inspections
Federal Motor Carrier Safety Regulations, State & Local Laws
Approved Equipment
Safety:
Driver Qualification & Training
Authorized Carriers
Disqualifying Violations
Public Education
Government Officials (DMV)
Human factors:
Surrounding traffic (drivers in vehicles around platoons).
CMV drivers (lead and following CMVs).
Best practices for fleet maintenance and inspection:
Critical vehicle components (brakes, tires, lights).
Sensors and communications (radar, dedicated short-range communications [DSRC], cameras).
Predictive analytics for preventative maintenance.
Best practices for safe operations:
Safe following distances.
Cybersecurity.