The Travel Forecasting Program at the Texas A&M Transportation Institute (TTI) supports and assists public agencies in the development, implementation and application of
current and emerging technologies in travel demand forecasting.
The purpose of travel forecasting is to help transportation
decision makers, at the local and state levels, improve the overall function of the transportation system. Program staff members accomplish this by developing travel models that predict future transportation patterns based on many variables. The variables used by program staff include comprehensive travel survey data, U.S. Census data, current and projected socio-demographic data, existing and projected transportation system data, and current traffic data.
The future of transportation is being rewritten on the Texas
A&M University campus. A top priority of that vision includes
the alignment of mobility, safety, connectivity and efficiency to
enhance campus transportation options and experiences. The
goal is to transform the campus transportation experience and enhance the overall quality of life by integrating private-sector transportation innovations and improvements. The Campus Transportation Technology Initiative supports that transformation by exploring and demonstrating technologies that advance
campus transportation and planning priorities now and into the future.
The Texas A&M Transportation Institute (TTI) Transportation Planning Program conducts research on travel surveys, travel behavior and related data collection methods to support travel models, policy, and air quality analyses. Program researchers have expertise in travel data collection methods and technologies; survey design and sampling, data analysis and interpretation; demographic data preparation for modeling; and corridor management and preservation.
Tom Williams, program managers for TTI's Travel Forecasting Group, gave this presentation on a current research project at the 2016 Smart Transport Symposium held in Austin, Texas. This research explores the transportation planning implications of automated and connected vehicles (AV/CV) on Texas highways and includes an in-depth study of how travel modeling can assist in planning for AV/CV. The research team assessed how these potentially transformative technologies can be included in transportation planning to assist in the decision making process. The research team also defined AV/CV implementation along various scales of vehicle technology advancement, public acceptance and adoption, and infrastructure implementation. For more information on TxDOT project 0-6848 visit: http://library.ctr.utexas.edu/Presto/content/Detail.aspx?q=MC02ODQ4&ctID=M2UxNzg5YmEtYzMyZS00ZjBlLWIyODctYzljMzQ3ZmVmOWFl&rID=MzQ4&qcf=&ph=VHJ1ZQ==&bckToL=VHJ1ZQ==&
Procurement stage reviewStudent needs to identify a project proc.docxstilliegeorgiana
Procurement stage review
Student needs to identify a project procurement stage, process, or critical success factor as his/her topic for the term project. The topic should be used for all three submissions. A list of potential topics include the following.
· Plan, Specification and Estimate (PS&E)
Student is required to select one topic and perform a comprehensive review. A good review paper is expected to be 7000-9000 words plus figures and tables. A student can either conduct an in-depth review of 3-5 journal papers with calculation and analysis or a broad general review of more than 15 articles on a specific topic.
Optimizing Public Transport Schedules to Minimize Energy Use and Wait Times
Public transport system plays an important role in any city to travel through it seamlessly with reduced individual effort and it also improves several other factors like congestion and the environment. The authorities of the public transport company must strive to improve policymaking by using tools to attain effective utilization of energy while increasing their capabilities of serving more individuals. E-participation is one of the categories that can be used to collect feedback and improve the schedules by simply enabling a click of the button for a more suitable schedule by everyone. For instance, by enabling a new option to “choose my schedule” can be included in the already existing “Ventra App” in Chicago to group the individuals and have a definitive schedule that would serve the maximum people and eliminating the less effective schedules thereby minimizing energy use.
Coming to the passenger wait times, again e-participation can be an effective tool wherein an app that runs on web 2.0 and is build using android/ iOS can be used to record the arrivals of the passengers and align the schedules. Also, the opinion mining tools like RapidMiner can be used to collect the opinions of the users and classify them based on their intents/ opinions on the currents timings and then modifying the policies to reduce the wait times. These tools can collect data from all the variety of sources and then use machine learning approaches to derive an optimized schedule that improves the efficiency and thereby reducing the wait times.
Importance of tools in policymaking
In an organization, the development of the business always lies with the implementation of some techniques in the system that is actually related to making the policy in the system. The technologies that are seen to be used in the system certainly have some importance when defining the process in the system and identifying the process during the time of communication-related to the information is always important for making the policy. The techniques that are seen to be used by the organization in the system certainly have some important steps to follow during the time of developing a policy in the system (Furlan, Torresan, Ronco, Critto, Breil, Kontogianni & Marcomini, 20 ...
The future of transportation is being rewritten on the Texas
A&M University campus. A top priority of that vision includes
the alignment of mobility, safety, connectivity and efficiency to
enhance campus transportation options and experiences. The
goal is to transform the campus transportation experience and enhance the overall quality of life by integrating private-sector transportation innovations and improvements. The Campus Transportation Technology Initiative supports that transformation by exploring and demonstrating technologies that advance
campus transportation and planning priorities now and into the future.
The Texas A&M Transportation Institute (TTI) Transportation Planning Program conducts research on travel surveys, travel behavior and related data collection methods to support travel models, policy, and air quality analyses. Program researchers have expertise in travel data collection methods and technologies; survey design and sampling, data analysis and interpretation; demographic data preparation for modeling; and corridor management and preservation.
Tom Williams, program managers for TTI's Travel Forecasting Group, gave this presentation on a current research project at the 2016 Smart Transport Symposium held in Austin, Texas. This research explores the transportation planning implications of automated and connected vehicles (AV/CV) on Texas highways and includes an in-depth study of how travel modeling can assist in planning for AV/CV. The research team assessed how these potentially transformative technologies can be included in transportation planning to assist in the decision making process. The research team also defined AV/CV implementation along various scales of vehicle technology advancement, public acceptance and adoption, and infrastructure implementation. For more information on TxDOT project 0-6848 visit: http://library.ctr.utexas.edu/Presto/content/Detail.aspx?q=MC02ODQ4&ctID=M2UxNzg5YmEtYzMyZS00ZjBlLWIyODctYzljMzQ3ZmVmOWFl&rID=MzQ4&qcf=&ph=VHJ1ZQ==&bckToL=VHJ1ZQ==&
Procurement stage reviewStudent needs to identify a project proc.docxstilliegeorgiana
Procurement stage review
Student needs to identify a project procurement stage, process, or critical success factor as his/her topic for the term project. The topic should be used for all three submissions. A list of potential topics include the following.
· Plan, Specification and Estimate (PS&E)
Student is required to select one topic and perform a comprehensive review. A good review paper is expected to be 7000-9000 words plus figures and tables. A student can either conduct an in-depth review of 3-5 journal papers with calculation and analysis or a broad general review of more than 15 articles on a specific topic.
Optimizing Public Transport Schedules to Minimize Energy Use and Wait Times
Public transport system plays an important role in any city to travel through it seamlessly with reduced individual effort and it also improves several other factors like congestion and the environment. The authorities of the public transport company must strive to improve policymaking by using tools to attain effective utilization of energy while increasing their capabilities of serving more individuals. E-participation is one of the categories that can be used to collect feedback and improve the schedules by simply enabling a click of the button for a more suitable schedule by everyone. For instance, by enabling a new option to “choose my schedule” can be included in the already existing “Ventra App” in Chicago to group the individuals and have a definitive schedule that would serve the maximum people and eliminating the less effective schedules thereby minimizing energy use.
Coming to the passenger wait times, again e-participation can be an effective tool wherein an app that runs on web 2.0 and is build using android/ iOS can be used to record the arrivals of the passengers and align the schedules. Also, the opinion mining tools like RapidMiner can be used to collect the opinions of the users and classify them based on their intents/ opinions on the currents timings and then modifying the policies to reduce the wait times. These tools can collect data from all the variety of sources and then use machine learning approaches to derive an optimized schedule that improves the efficiency and thereby reducing the wait times.
Importance of tools in policymaking
In an organization, the development of the business always lies with the implementation of some techniques in the system that is actually related to making the policy in the system. The technologies that are seen to be used in the system certainly have some importance when defining the process in the system and identifying the process during the time of communication-related to the information is always important for making the policy. The techniques that are seen to be used by the organization in the system certainly have some important steps to follow during the time of developing a policy in the system (Furlan, Torresan, Ronco, Critto, Breil, Kontogianni & Marcomini, 20 ...
If the world of transport is to change, then policy making must change with it. This slide deck sets out a new vision for how mobility policy should be created in the UK. And we want you to be part of it.
To meet the mobility needs of tomorrow, transport policy needs to up its game. Where Mobility Lab comes in is mixing vision for the future with the needs of users, as users are at the centre of our mobility systems. Uploaded on 20th November 2018. If you want to talk to us about working together, then email us on james@mobilitylab.org.uk.
Is there really a need for MTA to go digital? Do they have anything to be afraid of. We prove that it does. You can see that as a pitching, business propositions or even a bunch of cool ideas.
2 hours agoEsha Reddy Pulakurthi Week 8COLLAPSETop of Fo.docxlorainedeserre
2 hours ago
Esha Reddy Pulakurthi
Week 8
COLLAPSE
Top of Form
Tools and Technologies for Making Policies.
With the current technologies advancement in the field of information and communication policy making processes is faced with numerous opportunities to make it look modern to enhance efficiency and help develop great policies that can help optimize and minimize waiting time for passengers.
With the help of enhanced data collection and processing capabilitiesin train environment, there will be reduced time taken in working on and interpreting data related to passenger and train movement. Data mining technologies will be used to process passenger information and provide timely schedules using computer aided decisions. With increased human resource coordination, higher technology in data collection and processing strategies, there will be timely schedule and in the smart city environment (Kamateri, Panopoulou, Tambouris, Tarabanis, Ojo, Lee, & Price, 2015).
The provision of education, training and outcome hearing is a major factor that need consideration in reducing train waiting time and improve time scheduling. This way will reduce energy wastage and also make a great contribution to the success of all other tools and technologies. These all are procedural tools that follow each other where understanding and proper implementing them will yield great results. Incorporating the above two tools and technologies in the smart environment, there will be vast movement of information a prompt passenger movement schedule that is timely and energy saving (Rowlands, 1996).
References
Kamateri, E., Panopoulou, E., Tambouris, E., Tarabanis, K., Ojo, A., Lee, D., & Price, D. (2015). A comparative analysis of tools and technologies for policy making. In Policy practice and digital science (pp. 125-156). Springer, Cham.
Rowlands, I. (1996). Understanding information policy: concepts, frameworks and research tools. Journal of information Science, 22(1), 13-25.
Bottom of Form
2 days ago
Shravani Kasturi
Discussion
COLLAPSE
Top of Form
Useful Tools in Policy Making
Policy-making involves effective decision-making. Various techniques and tools are applied in organizing thoughts towards making and implementing working policies. In policy-making, long-term decisions have to be made in order to avoid fallacies that can fail big projects. For instance, the transport industry serves a lot of people every day. The industry needs policies that can help in improving their services. Train and bus services need to be time conscience by working with policies that favor the movement schedules of most of their clients. People living within SmartCity environments depend highly on technology to access information and communicate. This means planners and policy makers have to create an effective transport network to make life manageable for city inhabitants.
Local administrations in various developed nations lack enough competen ...
The Human Factors Program is housed within the Center
for Transportation Safety at the Texas A&M Transportation
Institute (TTI). The goal of the program is to conduct basic and
applied research to measure driver performance and behavior
for varied driving situations, vehicle characteristics and roadway
environments. Researchers design and implement experiments with human subjects (including field and simulator studies) and survey subjects to identify driver safety issues, such as those related to traffic control devices, distraction and fatigue.
TTI’s experimental psychologists and industrial engineers have
conducted numerous studies related to driver response to
roadway geometric design; visibility and driver comprehension
of traffic control devices; driver distraction; and automotive
adaptive equipment for disabled drivers, older drivers and
short-statured drivers.
Ginger Goodin, director of TTI's Transportation Policy Research Center, gave this presentation at the 2016 Smart Transport Symposium in Austin, Texas. The presentation is a status report on the active NCHRP research project. For more details on the project visit: http://apps.trb.org/cmsfeed/TRBNetProjectDisplay.asp?ProjectID=3934
Texas Pedestrian Safety Forum, July 12, 2018
When Your Urban Core Arrives | University Drive in College Station Presented by James Robertson, Ph.D., P.E., Lee Engineering
If the world of transport is to change, then policy making must change with it. This slide deck sets out a new vision for how mobility policy should be created in the UK. And we want you to be part of it.
To meet the mobility needs of tomorrow, transport policy needs to up its game. Where Mobility Lab comes in is mixing vision for the future with the needs of users, as users are at the centre of our mobility systems. Uploaded on 20th November 2018. If you want to talk to us about working together, then email us on james@mobilitylab.org.uk.
Is there really a need for MTA to go digital? Do they have anything to be afraid of. We prove that it does. You can see that as a pitching, business propositions or even a bunch of cool ideas.
2 hours agoEsha Reddy Pulakurthi Week 8COLLAPSETop of Fo.docxlorainedeserre
2 hours ago
Esha Reddy Pulakurthi
Week 8
COLLAPSE
Top of Form
Tools and Technologies for Making Policies.
With the current technologies advancement in the field of information and communication policy making processes is faced with numerous opportunities to make it look modern to enhance efficiency and help develop great policies that can help optimize and minimize waiting time for passengers.
With the help of enhanced data collection and processing capabilitiesin train environment, there will be reduced time taken in working on and interpreting data related to passenger and train movement. Data mining technologies will be used to process passenger information and provide timely schedules using computer aided decisions. With increased human resource coordination, higher technology in data collection and processing strategies, there will be timely schedule and in the smart city environment (Kamateri, Panopoulou, Tambouris, Tarabanis, Ojo, Lee, & Price, 2015).
The provision of education, training and outcome hearing is a major factor that need consideration in reducing train waiting time and improve time scheduling. This way will reduce energy wastage and also make a great contribution to the success of all other tools and technologies. These all are procedural tools that follow each other where understanding and proper implementing them will yield great results. Incorporating the above two tools and technologies in the smart environment, there will be vast movement of information a prompt passenger movement schedule that is timely and energy saving (Rowlands, 1996).
References
Kamateri, E., Panopoulou, E., Tambouris, E., Tarabanis, K., Ojo, A., Lee, D., & Price, D. (2015). A comparative analysis of tools and technologies for policy making. In Policy practice and digital science (pp. 125-156). Springer, Cham.
Rowlands, I. (1996). Understanding information policy: concepts, frameworks and research tools. Journal of information Science, 22(1), 13-25.
Bottom of Form
2 days ago
Shravani Kasturi
Discussion
COLLAPSE
Top of Form
Useful Tools in Policy Making
Policy-making involves effective decision-making. Various techniques and tools are applied in organizing thoughts towards making and implementing working policies. In policy-making, long-term decisions have to be made in order to avoid fallacies that can fail big projects. For instance, the transport industry serves a lot of people every day. The industry needs policies that can help in improving their services. Train and bus services need to be time conscience by working with policies that favor the movement schedules of most of their clients. People living within SmartCity environments depend highly on technology to access information and communicate. This means planners and policy makers have to create an effective transport network to make life manageable for city inhabitants.
Local administrations in various developed nations lack enough competen ...
The Human Factors Program is housed within the Center
for Transportation Safety at the Texas A&M Transportation
Institute (TTI). The goal of the program is to conduct basic and
applied research to measure driver performance and behavior
for varied driving situations, vehicle characteristics and roadway
environments. Researchers design and implement experiments with human subjects (including field and simulator studies) and survey subjects to identify driver safety issues, such as those related to traffic control devices, distraction and fatigue.
TTI’s experimental psychologists and industrial engineers have
conducted numerous studies related to driver response to
roadway geometric design; visibility and driver comprehension
of traffic control devices; driver distraction; and automotive
adaptive equipment for disabled drivers, older drivers and
short-statured drivers.
Ginger Goodin, director of TTI's Transportation Policy Research Center, gave this presentation at the 2016 Smart Transport Symposium in Austin, Texas. The presentation is a status report on the active NCHRP research project. For more details on the project visit: http://apps.trb.org/cmsfeed/TRBNetProjectDisplay.asp?ProjectID=3934
Texas Pedestrian Safety Forum, July 12, 2018
When Your Urban Core Arrives | University Drive in College Station Presented by James Robertson, Ph.D., P.E., Lee Engineering
Texas Pedestrian Safety Forum, July 12, 2018
Presentation by Kevin Kokes, Principal Transportation Planner, North Central Texas Council of Governments (NCTCOG)
In 2009, the Texas A&M Transportation Institute (TTI) added a one-of-a-kind Visibility Research Laboratory to its collection
of world class research facilities. The laboratory is located in the Institute’s State Headquarters and Research Building in the Research Park at Texas A&M University in College Station, Texas. The laboratory features a 125-foot-long corridor that is used to test retroreflective materials and coatings, lights and other technologies designed to provide nighttime visibility for
highway drivers.
What is Truck Platooning?
Level 2 truck platooning extends radar and vehicle-to-vehicle, communications-based, cooperative-adaptive cruise control using precise automated lateral and longitudinal vehicle control to maintain a tight formation of vehicles with short following distances. A manually driven truck leads a platoon, allowing the driver(s) of the following truck(s) to disengage from driving tasks and monitor system performance. Level 1 truck platooning has demonstrated the potential for significant fuel savings, enhanced mobility and associated emissions reductions from platooning vehicles. Level 2 automation may increase these benefits while reducing driver workload and increasing safety.
The Transportation Revenue Estimator and Needs Determination System (TRENDS) model funded by the Texas Department of Transportation is designed to provide transportation planners, policy makers and the public with a tool to forecast transportation revenues and expenses based on a user-defined level of investment at both the state and local
level. The user, through interactive windows, can control a number of variables related to assumptions regarding statewide transportation needs, population growth rates, fuel efficiency,
federal reimbursement rates, inflation rates, taxes, fees and other elements. The output is a set of tables and graphs showing a forecast of revenues, expenditures and fund balances for each year of the analysis period based on the
user-defined assumptions. The TRENDS model also includes a local option sub-model for each of Texas’ 25 Metropolitan Planning Organizations. Through the local option model the user can analyze changes in local revenues by creating
or adjusting a local fuel tax, local vehicle miles traveled tax, local vehicle registration fee or the local fuel efficiency rates.
The Texas A&M Transportation Institute (TTI) Transit
Mobility Program provides research and technology transfer expertise in all aspects of public transportation planning, management and operations. Program researchers bring a combination of direct operational skills in all bus and rail modes and nationwide research experience with metropolitan, urban and rural transit systems. Research projects result in practical, actionable recommendations for enhancing transit access, efficiency, effectiveness, safety and funding sustainability. Transit Mobility Program staff are adept at facilitating multi-agency groups in the development of shared transportation objectives, innovative strategies and coordinated services.
The TTI Center for Transportation Safety is home to a Realtime Technologies, Inc. (RTI) driving simulator that provides measurements of drivers’ responses to roadway situations, in-vehicle technologies, and driving-related tasks. RTI’s
SimCreator® and SimVista® software tools provide a library of different roadway cross-sections and interchanges, as well as a variety of roadway objects, buildings, and ambient traffic. In addition, custom roadway tiles can be programmed to match a specific roadway segment. This allows for in-house development of a wide range of rural and urban roadway scenarios, making it possible to inexpensively test multiple variations and placements of roadway devices or in-vehicle
signals and displays. Using the driving simulator, researchers can test a wider variety of roadway geometries and traffic conditions than are typically possible in a test-track study or fiscally practical in a field study.
The Texas A&M Transportation Institute’s (TTI) Sediment and
Erosion Control Laboratory (SEC Lab) provides the transportation industry with a research and performance
evaluation program for roadside environmental management. Research at the SEC Lab includes stormwater quality improvement, erosion and sediment control, and vegetation
establishment and management.
The Texas A&M University System is creating a new paradigm for the future of applied research, technology development and education. The 2,000 acre RELLIS Campus is conveniently located just 8 miles/15 minutes from Texas A&M University’s main campus. This location has long been a place where Texas A&M has conducted world-class research, technology development and workforce training in areas such as vehicle safety, traffic engineering, law enforcement training, biological materials processing, robotics and unmanned aerial systems.
Freight and passenger rail is a critical component of our nation’s
transportation system. Texas A&M Transportation Institute’s
(TTI) Multimodal Freight Transportation Programs Group
remains active in exploring the future of rail through a variety
of research activities.
Public scrutiny and agency accountability are at an all-time
high. Agencies are looking for a better understanding of the issues that are important to their customers. In an era of strained financial resources, it is necessary to order priorities that are important to the people that support the transportation system through taxes and fees. The Public Engagement Planning (PEP) program at the Texas A&M Transportation
Institute (TTI) provides research innovations and coordinated support to sponsors in the areas of public engagement planning and public opinion research.
The Texas A&M Transportation Institute (TTI) was asked by the Texas Department of Transportation (TxDOT) to assist in the application and refinement of prior research to accomplish some key goals during the reconstruction of the I-35 corridor from Hillsboro to Salado (90 miles total). Currently, TxDOT is conducting 10 construction projects along this corridor. More than 30 million drivers, including travelers, shippers and intercity commuters, use the corridor each year.
Intelligent transportation systems (ITS) include a broad range of services and technology solutions that provide and manage information to improve the safety, efficiency and performance of our transportation network.
Researchers design and implement experiments with human subjects (including field and simulator studies) and survey subjects to identify driver safety issues, such as those related to traffic control devices, distraction and fatigue. TTI’s experimental psychologists and industrial engineers have conducted numerous studies related to driver response to roadway geometric design; visibility and driver comprehension of traffic control devices; driver distraction; and automotive adaptive equipment for disabled drivers, older drivers and short-statured drivers.
For more than three decades, the Texas A&M Transportation
Institute (TTI) has been actively involved in the development
and improvement of the Texas Airport System. TTI’s contributions include activities related to planning and programming of airport projects, airport maintenance, and aviation education. TTI researchers have provided valuable guidance on a variety of issues to the Aviation Division at the Texas Department of Transportation (TxDOT) and to small and large airports across the state, including the Dallas-Fort Worth International Airport, Houston’s George Bush Intercontinental Airport and small airports such as Bryan’s Coulter Field.
The Texas A&M Transportation Institute is a leader in multimodal freight research and an innovator in exploring new ways of moving freight across the nation and around
the world.
TTI researchers have expertise in areas such as engineering, planning, economics, policy, public engagement, landscape architecture, environmental sciences, computer science and the social sciences, TTI researchers serve as objective transportation experts. They provide a resource to local, state and national agencies and groups, helping them solve transportation challenges and make informed decisions.
The Texas A&M Transportation Institute (TTI) opened the Environmental and Emissions Research Facility in Bryan, Texas, in January 2010. The development of the facility resulted from competitive grant awards to TTI from the U.S. Environmental Protection Agency (EPA) and the Houston Advanced Research Center (HARC), with additional funding provided by The Texas A&M University System and TTI. The Air Quality Program uses the facility as a part of emissions and fuel efficiency research. The $2.5 million facility is one of the largest drive-in environmental chambers in the country, and the only one based at a university. The EERF can be used to conduct
tests on vehicles as large as a full tractor-trailer or bus.
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
Learn about the cost savings, reduced environmental impact, and minimal disruption associated with trenchless technology. Discover detailed explanations of popular techniques such as pipe bursting, cured-in-place pipe (CIPP) lining, and directional drilling. Understand how these methods can be applied to various types of infrastructure, from residential plumbing to large-scale municipal systems.
Ideal for homeowners, contractors, engineers, and anyone interested in modern plumbing solutions, this guide provides valuable insights into why trenchless pipe repair is becoming the preferred choice for pipe rehabilitation. Stay informed about the latest advancements and best practices in the field.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Automobile Management System Project Report.pdfKamal Acharya
The proposed project is developed to manage the automobile in the automobile dealer company. The main module in this project is login, automobile management, customer management, sales, complaints and reports. The first module is the login. The automobile showroom owner should login to the project for usage. The username and password are verified and if it is correct, next form opens. If the username and password are not correct, it shows the error message.
When a customer search for a automobile, if the automobile is available, they will be taken to a page that shows the details of the automobile including automobile name, automobile ID, quantity, price etc. “Automobile Management System” is useful for maintaining automobiles, customers effectively and hence helps for establishing good relation between customer and automobile organization. It contains various customized modules for effectively maintaining automobiles and stock information accurately and safely.
When the automobile is sold to the customer, stock will be reduced automatically. When a new purchase is made, stock will be increased automatically. While selecting automobiles for sale, the proposed software will automatically check for total number of available stock of that particular item, if the total stock of that particular item is less than 5, software will notify the user to purchase the particular item.
Also when the user tries to sale items which are not in stock, the system will prompt the user that the stock is not enough. Customers of this system can search for a automobile; can purchase a automobile easily by selecting fast. On the other hand the stock of automobiles can be maintained perfectly by the automobile shop manager overcoming the drawbacks of existing system.
Quality defects in TMT Bars, Possible causes and Potential Solutions.PrashantGoswami42
Maintaining high-quality standards in the production of TMT bars is crucial for ensuring structural integrity in construction. Addressing common defects through careful monitoring, standardized processes, and advanced technology can significantly improve the quality of TMT bars. Continuous training and adherence to quality control measures will also play a pivotal role in minimizing these defects.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Forklift Classes Overview by Intella PartsIntella Parts
Discover the different forklift classes and their specific applications. Learn how to choose the right forklift for your needs to ensure safety, efficiency, and compliance in your operations.
For more technical information, visit our website https://intellaparts.com
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
1. Saving Lives, Time and Resources tti.tamu.edu
Solving Future Transportation Needs
The Travel Forecasting Program at the Texas A&M
Transportation Institute (TTI) supports and assists public
agenciesinthedevelopment,implementationandapplicationof
currentandemergingtechnologiesintraveldemandforecasting.
The purpose of travel forecasting is to help transportation
decisionmakers,atthelocalandstatelevels,improvetheoverall
function of the transportation system. Program staff members
accomplishthisbydevelopingtravelmodelsthatpredictfuture
transportationpatternsbasedonmanyvariables.Thevariables
usedbyprogramstaffinclude comprehensivetravelsurveydata,
U.S. Census data, current and projected socio-demographic
data, existing and projected transportation system data, and
current traffic data.
Who We Work For
The Travel Forecasting Program’s two primary sponsors are the
TexasDepartmentofTransportation’sTransportationPlanning
and Programming Division and the Houston-Galveston Area
Council. The longevity of each relationship has facilitated and
enhanced TTI’s ability to assist both agencies in developing the
institutionalcapacitytoperformtravel-relatedtechnicalanalyses.
The program also provides technical assistance to federal, state
and local agencies, and can assist developed and developing
countries as well.
Program Objectives
• Model Development Support: To assist various agencies in the
development and calibration of travel forecasting models for spe-
cific urban areas and assist with development of long-term model
improvement programs. Support also includes assistance in the
update and enhancement of travel models and model components
to allow more rigorous analysis of travel behavior, travel demand
markets and modal choices such as transit, carpooling, toll facili-
ties and non-motorized travel.
• Model Application Support: To offer technical assistance and
support in the application and maintenance of travel forecasting
models and techniques.
• Practical Implementation of New Modeling Techniques: To
assistwithmovingstate-of-the-artmodelingconceptsintopractice.
• Development of New Modeling Techniques: To participate in
the development of new or improved modeling techniques.
• Training and Technology Transfer: To offer training and
one-on-one assistance to support development of sponsor staff’s
transportationmodelingcapabilitiesandsupporttravelforecasting
technology transfer.
• Software Development: To develop needed software, provide
for implementation of travel forecasting techniques, improve data
summaries for analyses, assist in data preparation and interface
the travel models with geographic information systems (GIS).
• Software Application Support: To serve as a focal point for
assistance and support for the application software used for travel
forecasting.
TRAVEL FORECASTING PROGRAM
2. Thomas Williams
Travel Forecasting Program
Texas A&M Transportation Institute
505 E Huntland Dr, Suite 455
Austin, TX 78752
(512) 467-0946
t-williams@ttimail.tamu.edu
http://tti.tamu.edu
What We Can Do for You
From model development to analysis of model results, TTI’s Travel
Forecasting Program offers a wide range of services:
Technical guidance in model development
• Developing, maintaining and applying travel forecasting models.
• Developing long-term model improvement programs and sup-
porting the implementation process.
• Assisting in updating and enhancing travel models and model
components to allow more rigorous analysis of travel behavior,
travel demand markets and modal choices.
Independent assessments of model performance
• Advising sponsors on the use and interpretation of model results.
• Assistingsponsorsinassessingthebehavioralimplicationsofmodel
results through independent review of travel model results.
Use of interface application software
• Providinginterfaceapplicationsoftwaredesignedtoimprovedata
preparation and interface between travel models and GIS.
• Enablingmeasurementandtestingofmodelperformancethrough
theuseofextensiveandcomprehensivetravelmodeloutputreports.
• Promoting standardized documentation, reporting and storage
of model results.
Technical training in model development
• Offering training and one-on-one technical assistance to support
development of sponsor transportation modeling capabilities.
Topics include software application, model development, alter-
natives analysis and use of models for estimating regional source
emissions.
Technical guidance in advanced model development
• Offering technical assistance to regional entities such as Metro-
politan planning organizations and cities in the development,
application, validation and evaluation of advanced travel demand
modeling frameworks, including activity-based and tour-based
approaches.
• Developingadvancedeconometricandstatisticalmodelingframe-
works, which are useful in understanding the factors influencing
individuals’activity-travelbehaviorandpredictinghowindividuals
wouldreacttodifferenttransportation,landuseandpublichealth
policies.
Technical Training Seminars
The Travel Forecasting Program offers training seminars to
assistsponsorswiththeirtransportationmodelingcapabilities.
Example training topics include:
• Travel demand modeling software application
(TransCAD)
• Travel demand model (TDM) development and
application
• Alternatives analysis using TransCAD
• Introduction to TDMs
• TDM and estimating regional source emissions
TTI1725.3896.1216
To solve
transportation
problems through
research, to
transfer technology
and to develop
diverse human
resources to meet
the transportation
challenges of
tomorrow.
TTI’s Mission
TTI’s Mission Contact