Artificial intelligence is disrupting and optimizing the future of transportation by making it safer, smarter, cleaner and more efficient. AI applications are being used in autonomous vehicles, traffic management systems, and predictive maintenance of transportation infrastructure. However, widespread adoption of AI in transportation faces challenges regarding privacy, security, and the ethical implications of autonomous systems. Considerable investment and regulatory frameworks will be needed to address these challenges and maximize the benefits of AI in developing sustainable transportation solutions.
Smart Transportation for a Smarter Planet: Innovation with Today's ChallengesIBMTransportation
Globalization, urbanization, population growth and technological innovation. Each of these challenges push today's transportation providers to be innovative. IBM can help build a smarter planet with smarter transportation.
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
Read more at :https://www.alliedmarketresearch.com/smart-transportation-market
Smart Transportation Market Report explains different service offerings of the industry.The market involves all applications and hardware that comprise an intelligent system that monitors and controls the movement of traffic or transport. Simply, it implies toward an integrated machine-controlled environment, which can automatically track, trace, register, and navigate different modes of transport. The market offers innovative software applications to manage ticketing, parking, and traffic regulating facilities. Technological innovations in the field of electronic sensors and big data management introduces fresh services in the smart transportation market.
In the past decade, auto manufacturers have installed various technologies designed to make cars safer, more responsive, and more pleasurable to drive. From the hands-free cellphone, to iPod berths, to satellite radio, to automated parking—not to mention Google’s self-driving vehicle—the automobile is undergoing an electronic overhaul that promises to transform its role for consumers. What once was perceived as personal transportation is fast evolving into a new mobile device, merging with the digital world into an all-encompassing communications environment.
This ongoing transformation is poised to shift into high gear as cars display still greater connectivity and broader capabilities than ever. What makes this shift different from the way automobiles adopted new technologies in the past is that this time, automakers may have to consider how they can quickly merge consumer electronics and software with their traditional automotive systems.
Autonomous Vehicles: Technologies, Economics, and OpportunitiesJeffrey Funk
These slides use concepts from my (Jeff Funk) course entitled analyzing hi-tech opportunities to show how the cost and performance of autonomous vehicles are improving rapidly. LIDAR, other sensors, ICs, and wireless are experiencing rapid improvements that are enabling the overall cost of AVs to fall. For example, the latency of wireless systems is improving rapidly thus enabling vehicles to be controlled with wireless systems. This is also creating many new opportunities in the vehicle industry in the Internet of Things, data analytics, and logistics. The slides include a detailed discussion of AVs in Singapore, a likely early adopter.
Smart Transportation for a Smarter Planet: Innovation with Today's ChallengesIBMTransportation
Globalization, urbanization, population growth and technological innovation. Each of these challenges push today's transportation providers to be innovative. IBM can help build a smarter planet with smarter transportation.
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
Read more at :https://www.alliedmarketresearch.com/smart-transportation-market
Smart Transportation Market Report explains different service offerings of the industry.The market involves all applications and hardware that comprise an intelligent system that monitors and controls the movement of traffic or transport. Simply, it implies toward an integrated machine-controlled environment, which can automatically track, trace, register, and navigate different modes of transport. The market offers innovative software applications to manage ticketing, parking, and traffic regulating facilities. Technological innovations in the field of electronic sensors and big data management introduces fresh services in the smart transportation market.
In the past decade, auto manufacturers have installed various technologies designed to make cars safer, more responsive, and more pleasurable to drive. From the hands-free cellphone, to iPod berths, to satellite radio, to automated parking—not to mention Google’s self-driving vehicle—the automobile is undergoing an electronic overhaul that promises to transform its role for consumers. What once was perceived as personal transportation is fast evolving into a new mobile device, merging with the digital world into an all-encompassing communications environment.
This ongoing transformation is poised to shift into high gear as cars display still greater connectivity and broader capabilities than ever. What makes this shift different from the way automobiles adopted new technologies in the past is that this time, automakers may have to consider how they can quickly merge consumer electronics and software with their traditional automotive systems.
Autonomous Vehicles: Technologies, Economics, and OpportunitiesJeffrey Funk
These slides use concepts from my (Jeff Funk) course entitled analyzing hi-tech opportunities to show how the cost and performance of autonomous vehicles are improving rapidly. LIDAR, other sensors, ICs, and wireless are experiencing rapid improvements that are enabling the overall cost of AVs to fall. For example, the latency of wireless systems is improving rapidly thus enabling vehicles to be controlled with wireless systems. This is also creating many new opportunities in the vehicle industry in the Internet of Things, data analytics, and logistics. The slides include a detailed discussion of AVs in Singapore, a likely early adopter.
Ericsson ConsumerLab - Commuters expect moreEricsson
Today, commuters are taking advantage of greater connectivity and apps to simplify their daily commute. However, the public transport industry is perceived as lagging behind.
Autonomous vehicles: Plotting a route to the driverless futureAccenture Insurance
How will roadways dominated by high or fully automated vehicles impact future industries, economies and populations? What shifts in leverage and underlying business models are imminent? What new pathways for ecosystem innovation might arise from the data explosion that comes with AV proliferation?
The answers to these questions can be revealed by examining the immediate impact of AV adoption on three industry segments: automotive sales and service; logistics and supply chains; and auto insurance.
The Citizen, Not the Government, Should Be at the Center of Smart City Design. Learn what defines a smart city, how to build a smart city, and who're the leading brands.
Describes the process for using the business model canvas to identify connected vehicle scenarios and prioritize feature sets into cloud-based, global platforms
Nueva "Economía de Pasajeros" va a ser estimulada, en multimillonaria cifra, ...Emisor Digital
Los resultados de un nuevo estudio que explora el potencial económico cuando los conductores de la actualidad se conviertan en pasajeros con tiempo libre, reveló la compañía tecnológica multinacional Intel Corporation. Conceptualmente se le conoce como “Economía de Pasajeros”, y según lo informado por la consultora Strategy Analytics predice una explosiva trayectoria económica, que pasará de $ 800 mil millones en 2035 a $ 7 billones en 2050.
A self-driving car is hyper-communication: a system communicating with more elements, more frequently, and in real-time But to what extent can unmanned vehicles trust communication to make their own decisions? In other terms, how autonomous will be autonomous cars, once they reach the so-called ‘fifth level of autonomy’? 樂
Spindox is involved in 2 different research programs working on this question. We will give our vision for the mid-term scenario, from both a technical and a business perspective: architectural view, industry role, sourcing and delivery strategies. More specifically, we are presenting a proposed model for the data layer within this architecture, that addressed most of foreseen technical issues
Interview: What is the main security and privacy risks associated with the ad...Ersin KARA
worldautomotiveconference.co.uk
"The methods of artificial intelligence and augmented reality have always been the substance of rumination and speculation since very recently, where they’ve started to take very a central role in our lives.
Intelligent technologies today are computer-aided systems that completely control all industrial pipelines. They can operate autonomously and on this account all processes can be managed independently.
Today’s logistics do not resemble one-way storage of goods seen up to a few years ago. This is due to new web technologies that allow an entirely new level of interaction within the moving parts of a given logistics eco-system. As these technologies continue developing at a rapid pace, several partially and fully automated logistic frameworks are already readying for deployment."
"When we compare Industry 4.0 advantages and classic ERP programs advantages We see below points ;
- Space-efficient storage. This will save in warehouse areas and volumes. Ex. Kardex Remstar applications, vertical storage solutions
- ERP’s are integrated warehouse management software.
So the error will be absolutely minimal. Prevention of losses due to lack of communication in monolithic systems that have one point of failure.
- Automatic and controlled product circulation. This will allow for increased work safety and fewer work accidents. This will naturally result in risk reduction resulting from controllability, especially in hazardous material logistics.
- Line feed, standby modules. So perfect stock management, “0” inventory loss.
- Automatic finished product warehouses. This will allow for unmanned warehouses, fast vehicle loading and unloading systems that can work 24 hours a day, 365 days a year. Cellular transfer storage systems.
For distribution centers and warehouse management systems that implement Industry 4.0 technologies, data needs to be collected, analyzed, acted on, and secured in order to partake in the data driven decision-making Industry 4.0 advertises."
Vision-based real-time vehicle detection and vehicle speed measurement using ...JANAK TRIVEDI
In recent trends, digital information to the industrial integration for the intelligent transportation system (ITS)
field is gaining importance for the researcher, academia, and industrial persons. Visual information helps to
manage traffic systems in the industrial forum to build smart cities in developed countries. This paper presents
vision-based real-time vehicle detection and Vehicle Speed Measurement (VSM) using morphology operation and
binary logical process for an unplanned traffic scenario using image processing techniques. Vehicle detection and
VSM help to reduce the number of accidents and improve road network efficiency. The bounding box size for
vehicle detection is flexible according to vehicles’ sizes on the road. We test this system with different colors and
dimensions for a selected Region of Interest (ROI). The ROI sets using the two-line approach. Here, we compare
the proposed system with the inter-frame difference method and the blob analysis method with recall, precision,
and F1 performance parameters.
Artificial Intelligence In The Automotive Industry - M&A Trend AnalysisNetscribes
Artificial Intelligence (AI) is redefining the automotive industry. Organizations in the automotive industry are realizing the need to leverage advanced algorithms and computational structures, innovative testing and validation platforms, integrated cockpit solutions, and 5G network adoption and application deployment for building their next generation mobility services. As a result, mergers and acquisitions focused on acquiring AI capabilities is on the rise in auto sector.
The report provides a detailed analysis of more than 60 AI-focused deals in the auto sector over the last 10 years. Understand the specific AI technologies and capabilities that are high in demand, deal sizes, and the strategies driving those partnerships.
To purchase the full report, write to us at info@netscribes.com
AI is revolutionising the transport industry. From safety to speed, AI is redefining the way we commute.
Sensors
Safe transport
data
logistics
feedback
passengers
commuters
drivers
IoT The Future Of Transportation Systems.pdfMolly Cobb
IoT and trucking app development are reshaping the future of the trucking industry, providing a connected and intelligent ecosystem that optimizes operations, ensures safety, and paves the way for a more sustainable and efficient transportation sector.
Ericsson ConsumerLab - Commuters expect moreEricsson
Today, commuters are taking advantage of greater connectivity and apps to simplify their daily commute. However, the public transport industry is perceived as lagging behind.
Autonomous vehicles: Plotting a route to the driverless futureAccenture Insurance
How will roadways dominated by high or fully automated vehicles impact future industries, economies and populations? What shifts in leverage and underlying business models are imminent? What new pathways for ecosystem innovation might arise from the data explosion that comes with AV proliferation?
The answers to these questions can be revealed by examining the immediate impact of AV adoption on three industry segments: automotive sales and service; logistics and supply chains; and auto insurance.
The Citizen, Not the Government, Should Be at the Center of Smart City Design. Learn what defines a smart city, how to build a smart city, and who're the leading brands.
Describes the process for using the business model canvas to identify connected vehicle scenarios and prioritize feature sets into cloud-based, global platforms
Nueva "Economía de Pasajeros" va a ser estimulada, en multimillonaria cifra, ...Emisor Digital
Los resultados de un nuevo estudio que explora el potencial económico cuando los conductores de la actualidad se conviertan en pasajeros con tiempo libre, reveló la compañía tecnológica multinacional Intel Corporation. Conceptualmente se le conoce como “Economía de Pasajeros”, y según lo informado por la consultora Strategy Analytics predice una explosiva trayectoria económica, que pasará de $ 800 mil millones en 2035 a $ 7 billones en 2050.
A self-driving car is hyper-communication: a system communicating with more elements, more frequently, and in real-time But to what extent can unmanned vehicles trust communication to make their own decisions? In other terms, how autonomous will be autonomous cars, once they reach the so-called ‘fifth level of autonomy’? 樂
Spindox is involved in 2 different research programs working on this question. We will give our vision for the mid-term scenario, from both a technical and a business perspective: architectural view, industry role, sourcing and delivery strategies. More specifically, we are presenting a proposed model for the data layer within this architecture, that addressed most of foreseen technical issues
Interview: What is the main security and privacy risks associated with the ad...Ersin KARA
worldautomotiveconference.co.uk
"The methods of artificial intelligence and augmented reality have always been the substance of rumination and speculation since very recently, where they’ve started to take very a central role in our lives.
Intelligent technologies today are computer-aided systems that completely control all industrial pipelines. They can operate autonomously and on this account all processes can be managed independently.
Today’s logistics do not resemble one-way storage of goods seen up to a few years ago. This is due to new web technologies that allow an entirely new level of interaction within the moving parts of a given logistics eco-system. As these technologies continue developing at a rapid pace, several partially and fully automated logistic frameworks are already readying for deployment."
"When we compare Industry 4.0 advantages and classic ERP programs advantages We see below points ;
- Space-efficient storage. This will save in warehouse areas and volumes. Ex. Kardex Remstar applications, vertical storage solutions
- ERP’s are integrated warehouse management software.
So the error will be absolutely minimal. Prevention of losses due to lack of communication in monolithic systems that have one point of failure.
- Automatic and controlled product circulation. This will allow for increased work safety and fewer work accidents. This will naturally result in risk reduction resulting from controllability, especially in hazardous material logistics.
- Line feed, standby modules. So perfect stock management, “0” inventory loss.
- Automatic finished product warehouses. This will allow for unmanned warehouses, fast vehicle loading and unloading systems that can work 24 hours a day, 365 days a year. Cellular transfer storage systems.
For distribution centers and warehouse management systems that implement Industry 4.0 technologies, data needs to be collected, analyzed, acted on, and secured in order to partake in the data driven decision-making Industry 4.0 advertises."
Vision-based real-time vehicle detection and vehicle speed measurement using ...JANAK TRIVEDI
In recent trends, digital information to the industrial integration for the intelligent transportation system (ITS)
field is gaining importance for the researcher, academia, and industrial persons. Visual information helps to
manage traffic systems in the industrial forum to build smart cities in developed countries. This paper presents
vision-based real-time vehicle detection and Vehicle Speed Measurement (VSM) using morphology operation and
binary logical process for an unplanned traffic scenario using image processing techniques. Vehicle detection and
VSM help to reduce the number of accidents and improve road network efficiency. The bounding box size for
vehicle detection is flexible according to vehicles’ sizes on the road. We test this system with different colors and
dimensions for a selected Region of Interest (ROI). The ROI sets using the two-line approach. Here, we compare
the proposed system with the inter-frame difference method and the blob analysis method with recall, precision,
and F1 performance parameters.
Artificial Intelligence In The Automotive Industry - M&A Trend AnalysisNetscribes
Artificial Intelligence (AI) is redefining the automotive industry. Organizations in the automotive industry are realizing the need to leverage advanced algorithms and computational structures, innovative testing and validation platforms, integrated cockpit solutions, and 5G network adoption and application deployment for building their next generation mobility services. As a result, mergers and acquisitions focused on acquiring AI capabilities is on the rise in auto sector.
The report provides a detailed analysis of more than 60 AI-focused deals in the auto sector over the last 10 years. Understand the specific AI technologies and capabilities that are high in demand, deal sizes, and the strategies driving those partnerships.
To purchase the full report, write to us at info@netscribes.com
AI is revolutionising the transport industry. From safety to speed, AI is redefining the way we commute.
Sensors
Safe transport
data
logistics
feedback
passengers
commuters
drivers
IoT The Future Of Transportation Systems.pdfMolly Cobb
IoT and trucking app development are reshaping the future of the trucking industry, providing a connected and intelligent ecosystem that optimizes operations, ensures safety, and paves the way for a more sustainable and efficient transportation sector.
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
Global autonomous vehicle market size is projected to reach around US$ 200.31 Billion by 2030. The dream of seeing fleets of driverless cars efficiently delivering people to their destinations has captured consumers' imaginations and fuelled billions of dollars in investment in recent years.
No Hands: The Autonomous Future of TruckingCognizant
The impacts of autonomous trucking will reverberate far beyond the trucking industry. As members of the workforce, public policy proponents, technology strategists and business leaders grapple with the technological, economic and cultural fall-out of self-driving trucks, what happens next could serve as a template for other fields influenced by AI.
Transportation organizations must reinvent their rail and transit companies to capture these 4 opportunities that will characterize the post-digital future. Read more.
Smart Road Technology for Traffic Management and ITS Infrastructure Assessmen...IJAEMSJORNAL
This technical work describe infrastructure requirement and the working principles and procedures involved in operation of a Smart Road. A Smart Road is similar to a conventional highway but the difference is, it is equipped with the electronic gadgets required to capture static and dynamic physical entities occupied on the road at a given time and location. Nowadays traffic safety and highway congestion has become a serious concern to the Authorities and required to be managed them within the available resources. Also it is not possible to increase the capacity of highway infrastructure to compete with increase in traffic. In cities on highway system, large amount of traffic data being generated and an integrated approach is required for the efficient management transportation system. Smart Road is an innovative approach wherein Information Communication Technologies (ICT) is merged with traditional infrastructure and integrated with digital technologies. Critical examination of literature review reveals that many technologies are available for data capturing and management. Notable among them are by using ultrasonic sensors, light sensors, motion sensors, camera and IOT devices. The data collected by the devices would be managed through cloud computing and big data analytic methods. To assess the current traffic situation spot speeds and traffic volumes are captured for peak and non-peak on the Express Highway and from the data captured 85th percentile speed and LoS are estimated. Smart road technology is discussed for transportation system management. And IT infrastructure requirement for capturing traffic related data demonstrated for the selected road in Muscat.
Self driving Vehicles An Overview of Their Influence on Tech Societyijtsrd
Autonomous vehicles have emerged as a transformative technology that promises to revolutionize how we travel and interact with transportation systems. This article aims to provide a comprehensive introduction to autonomous vehicles, exploring their definition, underlying technologies, the current state of development, and their potential impact on society. By delving into autonomous vehicles benefits, challenges, and prospects, we can better understand this rapidly evolving field and its implications for various sectors, including transportation, urban planning, safety, and the economy. Sanath D Javagal "Self-driving Vehicles: An Overview of Their Influence on Tech Society" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-5 , October 2023, URL: https://www.ijtsrd.com/papers/ijtsrd60012.pdf Paper Url: https://www.ijtsrd.com/engineering/automotive-engineering/60012/selfdriving-vehicles-an-overview-of-their-influence-on-tech-society/sanath-d-javagal
On a Growth Track: Intelligent Railways TMS MarketMattdixon45
The global intelligent railways transportation management systems market is likely to advance with a CAGR of 10.95% in the forecast period from 2023 to 2030.
The importance of the Car hauling industry for safe and efficient vehicle transportation is Ongoing transformative changes in the car-hauling industry due to advancing technology and changing consumer demands. Explore the emerging trends and innovations shaping the future of car hauling.
It is important to understand the role of transporting vehicles from manufacturers to dealerships and consumers. We explore the advancements in technology driving transformative changes, meeting increasing consumer demands, safe and efficient vehicle transportation, and future-shaping trends and innovations in the car-hauling industry.
Cisco Smart Intersections: IoT insights using video analytics and AICarl Jackson
In this trial, IoT, Video Analytics, Deep Learning (DL) and Artificial Intelligence (AI), for the purpose of traffic flow assessment and insights into road user behaviour, were evaluated at an intersection at the AIMES testbed in Melbourne¹ in partnership with: the University of Melbourne, Department of Transport (DOT), IAG and Cisco.
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ARTIFICIAL INTELLIGENCE (AI) ENABLED TRANSPORTATION - DISRUPTING AND OPTIMIZING THE FUTURE MOBILITY
1. ARTIFICIAL INTELLIGENCE (AI) ENABLED
TRANSPORTATION - DISRUPTING AND OPTIMIZING
THE FUTURE MOBILITY
Automotive & Transportation
2. Transport in developing or emerging markets often faces severe
challenges due to growing populations, urbanization, poor
infrastructure, and rising prosperity in some regions, increasing
cargo volumes, vehicle traffic, and pollution. Artificial intelligence
(AI) offers new solutions to these challenges by making market entry
more comfortable and allowing countries/geographies to reach
underserved populations, creating market opportunities and private
sector investment opportunities associated with them.
AI is changing the transport sector completely from helping cars,
trains, ships, and airplanes function autonomously, making traffic
flows smoother is already applied in numerous transport grounds.
Beyond making consumers' lives easier, it can help make all
transport modes safer, smarter, cleaner, and more efficient. AI-led
autonomous transport could reduce the human errors involved in
many traffic accidents and traffic congestions.
However, these opportunities come with real challenges, including
unintended consequences and misuses such as cyber-attacks and
biased transport decisions. There are also consequences for
employment and ethical questions regarding liability for
AI decisions in humans' place.
https://www.pukkapartners.com
3. Considering the geographies, the EU is taking initiation to adapt its regulatory framework to new developments to supports
innovations while at the same time ensuring respect for fundamental rights and values. The measures already taken include
general strategies on artificial intelligence (AI) & machine learning (ML) and rules that keep the technologies enabling its
transportation section application. Besides, the EU provides financial support, in particular for research.
"AI is Making Transport Safer, Cleaner, More Reliable, and Efficient in the Emerging Markets"
AI Enabled Transportation: Market Dynamics
According to the US Transportation Research Board, the developing AI applications in transportation planning are in
behavioral travel models, city infrastructure design and planning, and demand modeling for cargo and public transport. For
instance, AI-enhanced demand and forecast modeling in road freight transportation management aimed to enhance the
domestic public transportation infrastructure.
Although one restraint for adopting AI in transportation planning applications is that connected transportation
infrastructure will also raise safety concerns about individuals' privacy and data safety. Government and legal regulations
regarding these ethical considerations will dictate the pace of innovation and adoption in the global industry over the
predictable period.
Read More:-:https://www.pukkapartners.com/insight/artificial-intelligence-ai-enabled-transportation-disrupting-and-
optimizing-the-future-mobility
4. COVID-19 Impact on Transportation Sector
The COVID-19 pandemic has strongly hit global transportation sector. With ridership significantly down,
operators in developing cities will have to face difficult future viability questions. The appropriate response
must plan for contingencies, but never forget the value of shared transit in the process of economic
development.
Applications of artificial intelligence (AI), intelligent transportation system (ITS), and internet of things (IoT) can
tackle commuter safety issues of the transportation system. It can also reduce human-to-human transmission
and prevent cluster outbreaks in public transportation systems by monitoring adherence to COVID-specific
norms while improving efficiency and ease of monitoring.
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5. AI models instances into the transport sector
1. Artificial Neural Networks (ANNs)
Description: They are enthused by the neural networks found in the human brain. They use previous experience and data points
with varying weights to make decisions. It handles complex and challenging issues as they operate with large amounts of data
and detect non-linear relationships.
Uses: Automotive Global Position Systems (GPS) use ANN to determine the mode of transportation based on the information
collected from a GPS, accelerometer, and magnetometer. This algorithm is derived from several data points and factors.
Moreover, ANN models can also be used in public transportation to predict buses' arrival times at stop areas.
2. Artificial Immune System (AIS)
Description: This algorithm takes its inspiration from human biology; specifically, how human bodies react to disease-causing
agents known as antigens. AIS models feature extraction, pattern recognition, learning, and memory of human immune
systems.
Uses: AIS is useful for pattern recognition, anomaly detection, clustering, optimization, planning, and scheduling. Engineers have
used AIS to create a real-time regulation support system to help public transportation networks to find the most appropriate
solutions when the network experiences a disturbance.
Others include the Fuzzy Logic Model, Ant Colony Optimizer (ACO), and Bee Colony Optimization (BCO).
6. AI Enabled Transportation: Investment Opportunities
E-logistics is one of the most favorable areas for immediate investment opportunities that mainly involve AI applications in the
transportation sector. Poor roads, suboptimal truck utilization, unreliable tracking, routing, and a lack of transparency in cargo
movement hinder the global market's traditional logistics efficiency. Many new startups have been utilizing technology, including
AI, to solve the efficiency and reliability issues that the conventional logistics industry faces, introducing data analytics and
optimization to lower costs.
Known as e-logistics companies, the services these startups specialize in intend to fall into three categories:
• Transportation data enablers, which provide platform-as-a-service offerings to improve transportation/location services
• Long-haul/inter-city transportation, which usually aggregates truckers and shippers to facilitate the movement of goods across
cities through a digital platform
• Last-mile/intercity transportation, which aggregate local delivery drivers and SMEs/e-commerce companies for last-mile
delivery solutions within cities
7. AI Enabled Transportation: Current Applications
There are few instances of current applications of AI in the transportation industry below:
1. Public Passenger Transportation
Leveraging AI in transportation supports the sector by enhancing passenger safety, reducing carbon emissions, reducing traffic
congestion & accidents, and minimizing the overall financial expenses.
Companies - Olli by Local Motors
2. Autonomous Trucks
The transportation sector is primarily witnessing environmental challenges and stricter emission regulations from various
government regulatory bodies. According to the International Transport Forum (ITF) report, it claims that autonomous trucks will
save costs, lower emissions, and improve road safety compared to traditional trucking with human drivers.
8. Companies - Uber Advanced Technologies Group, TuSimple
3. AI Applications in Railway Cargo Transportation
Transportation has made a concerted effort toward applying AI in the transportation segment. AI brought 'intelligent'
locomotives that aimed to improve efficiency (which translates to rail transport solutions' economic benefit).
Each AI-based smart freight locomotives are equipped with sensors, including cameras that capture track, front and back, and
locomotive cab. The sensors' data is fed to machine-learned analytic applications that aggregate the data right there on the edge
gateway, enabling onboard real-time decision-making.
Companies - GE Transportation, Hitachi
Conclusion
AI holds the promise of dramatically increasing productivity and efficiency in several sectors, including transportation. AI is
already helping to make transportation safer, efficient, cleaner, and reliable. Some smart applications include drones for quick
life-saving medical deliveries, smart traffic systems that reduce congestion & emissions, and driverless vehicles. With great
potential to increase efficiency and sustainability, among other benefits, comes a host of socioeconomic, institutional, and
political challenges that must be addressed to ensure that countries and their citizens can all harness AI's power for economic
growth and shared prosperity in the global transportation sector.
9. How We Are :-
Pukka Partners provide customized intelligence solutions to C-
suite executives and functional growth leaders, along with other
key offerings including market & competitive intelligence,
management & strategy consulting, pre-investment advisory,
real-time business intelligence, and data analytics services
across sectors, globally and locally, on new & emerging
markets and disruptive technologies.
We offer advisory and actionable insights around public
policies, investment tracking along with the obstacles faced by
investors, innovation and strategy impact monitoring,
identification of industry potential, and technology mapping
through comprehensive and standardized research
methodology and tools. We deploy our solutions to solve
prioritized and critical business challenges by leveraging our in-
house expertise and continuous engagement with industry
thought leaders in the business ecosystem.
Contact Us:- engage@pukkapartners.com
https://www.pukkapartners.com