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Author: Johanna Zmud
Publisher:
ISBN: 9780309479981
Category : Autonomous vehicles
Languages : en
Pages :
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Book Description
Vol 1: Forecasting Travel Behavior in the Context of Connected and Automated Vehicles...Definitions of Automated Vehicles and Connected Vehicles...Framework for Planning and Modeling CAVs...Planning Context...Modeling Systems...Communicating under Uncertainty...Conclusions Vol 2: Introduction...Definitions of CAVs and Current Status...Uncertainties Associated with CAVs...Framework for Planning and Modeling CAVs...Planning in the Context of Uncertainty...Adapting Trip=-Based Models to Address CAVs...Adapting Disaggregate/Dynamic Models to Address CAVs...Adapting Strategic Models to Address CAVs...Communicationg in an Uncertain Environment
Author: Johanna Zmud
Publisher:
ISBN: 9780309479981
Category : Autonomous vehicles
Languages : en
Pages :
Get Book Here
Book Description
Vol 1: Forecasting Travel Behavior in the Context of Connected and Automated Vehicles...Definitions of Automated Vehicles and Connected Vehicles...Framework for Planning and Modeling CAVs...Planning Context...Modeling Systems...Communicating under Uncertainty...Conclusions Vol 2: Introduction...Definitions of CAVs and Current Status...Uncertainties Associated with CAVs...Framework for Planning and Modeling CAVs...Planning in the Context of Uncertainty...Adapting Trip=-Based Models to Address CAVs...Adapting Disaggregate/Dynamic Models to Address CAVs...Adapting Strategic Models to Address CAVs...Communicationg in an Uncertain Environment
Author: Johanna Zmud
Publisher:
ISBN: 9780309479974
Category : Autonomous vehicles
Languages : en
Pages :
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Book Description
Vol 1: Forecasting Travel Behavior in the Context of Connected and Automated Vehicles...Definitions of Automated Vehicles and Connected Vehicles...Framework for Planning and Modeling CAVs...Planning Context...Modeling Systems...Communicating under Uncertainty...Conclusions Vol 2: Introduction...Definitions of CAVs and Current Status...Uncertainties Associated with CAVs...Framework for Planning and Modeling CAVs...Planning in the Context of Uncertainty...Adapting Trip=-Based Models to Address CAVs...Adapting Disaggregate/Dynamic Models to Address CAVs...Adapting Strategic Models to Address CAVs...Communicationg in an Uncertain Environment
Author:
Publisher: Academic Press
ISBN: 0128162147
Category : Law
Languages : en
Pages : 351
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Book Description
The Evolving Impacts of ICT on Activities and Travel Behavior, Volume Three in the Advances in Transport Policy and Planning series, assesses both successful and unsuccessful practices and policies from around the world on the topic. This new volume highlights ICT as a Resilient Travel Behavior Alternative; The Past, Present and Future of Travel Time Use; The Intersection of Transportation and Telecommunications in Demand Forecasting and Traffic Management; International Journey Planning System to Welcoming MaaS; An Empirical Analysis of the Relationship Between Mobile Internet Usage and Activity-Travel Behavior; Travel Time Perception and Time Use in an Era of Automated Driving, and more. Provides the authority and expertise of leading contributors from an international board of authors Presents the latest release in the Advances in Transport Policy and Planning series Updated release includes the latest information on the evolving impact of ICT on activities and travel behavior
Author: Asadur Rahman
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
Traffic forecasting is always a challenge and the intensity of this challenge is higher when the job is to do traffic forecasts considering connected and automated vehicles (CAV). The travel demand model (TDM) is an important and incomparable tool to do traffic forecasts for transportation projects and scenarios for transportation plans. Different agencies not limited to the State Department of Transportation (DOT)s, and the Metropolitan Planning Organization (MPO)s need to develop plans, such as the long-range transportation plan and short-range transportation plan. These plans range from 4-6 years (short) to 20-30 years (long). Various researches and studies are going on considering the CAV for traffic operations, policy, and so on. Specific studies have not been conducted to provide guidelines for planning agencies to consider the CAV for transportation planning focusing on the TDM to do traffic forecasts. This research work has proposed strategies to incorporate CAV in the TDM to do traffic forecasts. This study has proposed an improvised TDM methodology considering the consequences of the emergence of CAV in the transportation system from the planning perspective. The proposed method is based on the most traditional four-step trip based TDM and to incorporate adjustments of different supply level independent variables which will guide to develop different scenarios based on the need for planning agencies and stakeholders. This research has proposed formula to estimate trip production and vehicle ownership from the intuitive reaction of CAV emergence in the near future. Multiple scenario results from this research conclude that vehicle miles travel (VMT), vehicle hours travel (VHT), and travel delay due to CAV implementation are directly related to travel behaviors such as auto occupancy and vehicle ownership. VMT, VHT, and travel delay do not always go up with the dedicated lane (DL) for CAV implementation. This research has analyzed different scenarios considering changes in single occupancy (SO) and vehicle ownership (VO) with the DLs for CAV. This research result shows that the DLs implementation for CAV with the current (according to NHTS 2017) SO and VO rate may increase VMT. Notwithstanding, case study results from this research show that 'with CAV' considering reduced SO and VO; and DL implementation, VMT may decrease up to forty percent than 'without CAV'. The transportation mobility may be challenging and chaotic if only the DLs for CAV is implemented without considering travel behaviors. Results from case studies in this research suggest implementing single DL for CAV at the beginning of implementation. Another recommendation of this research is to consider and analyze SO and VO as travel behaviors with the DLs for CAV implementation to do traffic forecasts in a transportation plan or a specific project.
Author: Public Technology, inc
Publisher:
ISBN:
Category : Transportation
Languages : en
Pages : 52
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Book Description
![Transportation Planning and Impact For[e]casting Tools PDF](https://books.google.com/books/content/images/frontcover/9swkAQAAMAAJ?fife=w80-h100)
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 50
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Book Description
Author: Haneen Khreis
Publisher: Elsevier
ISBN: 0128181230
Category : Transportation
Languages : en
Pages : 650
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Book Description
Traffic-Related Air Pollution synthesizes and maps TRAP and its impact on human health at the individual and population level. The book analyzes mitigating standards and regulations with a focus on cities. It provides the methods and tools for assessing and quantifying the associated road traffic emissions, air pollution, exposure and population-based health impacts, while also illuminating the mechanisms underlying health impacts through clinical and toxicological research. Real-world implications are set alongside policy options, emerging technologies and best practices. Finally, the book recommends ways to influence discourse and policy to better account for the health impacts of TRAP and its societal costs. Overviews existing and emerging tools to assess TRAP’s public health impacts Examines TRAP’s health effects at the population level Explores the latest technologies and policies--alongside their potential effectiveness and adverse consequences--for mitigating TRAP Guides on how methods and tools can leverage teaching, practice and policymaking to ameliorate TRAP and its effects
Author: Venu Garikapati
Publisher:
ISBN:
Category : Automated guided vehicle systems
Languages : en
Pages : 0
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Book Description
Author: Ben Stabler
Publisher:
ISBN:
Category :
Languages : en
Pages : 70
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Book Description
Author: Amirsaman Mahdavian
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
A multitude of externalities affects transport efficiency and numbers of trips. Population expansion, urban development, political issues, fiscal trends, and growth in the field of connected, automated, shared, and electric (CASE) vehicles have all played prominent roles. While the market is keenly aware of the upcoming shift to the CASE vehicles, the transformation itself is reliant upon the development of technologies, customer outlook, and guidelines. The purpose of this research is to establish an overview of the possible network design problems, as well as potential consequences to vehicle automation systems by employing machine learning and system dynamics analysis. Finally, the cost of the required highway expansion for the critical links in the traffic network will be predicted. First, model was created for calculating traffic flow activity and necessitated highways to consider the impact of CASE vehicles between 2021 and 2050. Second, an economic evaluation outline was created to calculate optimum time and roadway improvement scenarios by a cost-prediction model using machine learning. Florida's interstate highways were employed as the subjects for the case study. The research showed that non-linear models had a better ability in the estimation of traffic flow, while linear models were better predictors of highway construction cost. These results also showed new technologies would add to traffic flow and capacity, with the increase in flow outpacing the increase in capacity. The consequences of this would be the level of service (LOS) of the current infrastructure decreasing. This study's results can assist discussion at the national and local level between government, networkers, automotive companies, tech-providers, logistics companies, and stakeholders for whom the practicality provided by the transportation infrastructure is crucial. This allows executives to create effective guidelines for subsequent transportation networks, ultimately accelerating the CASE vehicle network rollout to increase our current road network's level of service.
