Impact of Privately-Owned Level 4 CAV Technologies on Travel Demand and Energy

Auld, Joshua; Verbas, Omer; Javanmardi, Mahmoud; Rousseau, Aymeric

doi:10.1016/j.procs.2018.04.089

Title: Impact of Privately-Owned Level 4 CAV Technologies on Travel Demand and Energy

Journal Article · Mon Jan 01 00:00:00 EST 2018 · Procedia Computer Science

DOI:https://doi.org/10.1016/j.procs.2018.04.089· OSTI ID:2212798

Auld, Joshua; Verbas, Omer; Javanmardi, Mahmoud; Rousseau, Aymeric

Furthermore, this study analyzes the mobility and energy impact of CAV technologies. Under different VOT, WTP and market penetration scenarios, changes in mobility in terms of VMT and average travel time, as well as changes in energy consumption are estimated. The state-of-the-art integrated activity-based modeling (ABM) and traffic simulation software POLARIS is used to model the mobility impact. Moreover, POLARIS is coupled with AUTONOMIE to analyze the resulting fuel consumption.

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Research Organization:: Argonne National Laboratory (ANL), Argonne, IL (United States)

Sponsoring Organization:: USDOE; USDOE Office of Energy Efficiency and Renewable Energy (EERE), Vehicle Technologies Office (EE-3V)

Grant/Contract Number:: AC02-06CH11357

OSTI ID:: 2212798

Alternate ID(s):: OSTI ID: 1466406

Journal Information:: Procedia Computer Science, Journal Name: Procedia Computer Science Vol. 130 Journal Issue: C; ISSN 1877-0509

Publisher:: ElsevierCopyright Statement

Country of Publication:: Netherlands

Language:: English

References (24)

Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations Fagnant, Daniel J.; Kockelman, Kara Transportation Research Part A: Policy and Practice, Vol. 77 https://doi.org/10.1016/j.tra.2015.04.003	journal	July 2015
Framework for the development of the Agent-based Dynamic Activity Planning and Travel Scheduling (ADAPTS) model Auld, Joshua; Mohammadian, Abolfazl Transportation Letters, Vol. 1, Issue 3 https://doi.org/10.3328/TL.2009.01.03.245-255	journal	July 2009
Help or hindrance? The travel, energy and carbon impacts of highly automated vehicles Wadud, Zia; MacKenzie, Don; Leiby, Paul Transportation Research Part A: Policy and Practice, Vol. 86 https://doi.org/10.1016/j.tra.2015.12.001	journal	April 2016
POLARIS: Agent-based modeling framework development and implementation for integrated travel demand and network and operations simulations Auld, Joshua; Hope, Michael; Ley, Hubert Transportation Research Part C: Emerging Technologies, Vol. 64 https://doi.org/10.1016/j.trc.2015.07.017	journal	March 2016
Effects of Adaptive Cruise Control Systems on Highway Traffic Flow Capacity Vander Werf, Joel; Shladover, Steven E.; Miller, Mark A. Transportation Research Record: Journal of the Transportation Research Board, Vol. 1800, Issue 1 https://doi.org/10.3141/1800-10	journal	January 2002
Using an Activity-Based Model to Explore the Potential Impacts of Automated Vehicles Childress, Suzanne; Nichols, Brice; Charlton, Billy Transportation Research Record: Journal of the Transportation Research Board, Vol. 2493, Issue 1 https://doi.org/10.3141/2493-11	journal	January 2015
Are consumers willing to pay to let cars drive for them? Analyzing response to autonomous vehicles Daziano, Ricardo A.; Sarrias, Mauricio; Leard, Benjamin Transportation Research Part C: Emerging Technologies, Vol. 78 https://doi.org/10.1016/j.trc.2017.03.003	journal	May 2017
An evaluation tool for advanced traffic information and management systems in urban networks Jayakrishnan, R.; Mahmassani, Hani S.; Hu, Ta-Yin Transportation Research Part C: Emerging Technologies, Vol. 2, Issue 3 https://doi.org/10.1016/0968-090X(94)90005-1	journal	September 1994
Effects of Autonomous Vehicle Ownership on Trip, Mode, and Route Choice Levin, Michael W.; Boyles, Stephen D. Transportation Research Record: Journal of the Transportation Research Board, Vol. 2493, Issue 1 https://doi.org/10.3141/2493-04	journal	January 2015
An Overview on an Automated Truck Platoon within the Energy ITS Project Tsugawa, Sadayuki IFAC Proceedings Volumes, Vol. 46, Issue 21 https://doi.org/10.3182/20130904-4-JP-2042.00110	journal	January 2013
Fuel Consumption Reduction in a Platoon: Experimental Results with two Electronically Coupled Trucks at Close Spacing Bonnet, Christophe; Fritz, Hans Future Transportation Technology Conference & Exposition, SAE Technical Paper Series https://doi.org/10.4271/2000-01-3056	conference	August 2000
50th Anniversary Invited Article—Autonomous Vehicles and Connected Vehicle Systems: Flow and Operations Considerations Mahmassani, Hani S. Transportation Science, Vol. 50, Issue 4 https://doi.org/10.1287/trsc.2016.0712	journal	June 2016
An experimental study on the fuel reduction potential of heavy duty vehicle platooning Alam, Assad Al; Gattami, Ather; Johansson, Karl Henrik 2010 13th International IEEE Conference on Intelligent Transportation Systems - (ITSC 2010) https://doi.org/10.1109/ITSC.2010.5625054	conference	September 2010
A simplified theory of kinematic waves in highway traffic, part I: General theory Newell, G. F. Transportation Research Part B: Methodological, Vol. 27, Issue 4 https://doi.org/10.1016/0191-2615(93)90038-C	journal	August 1993
Modeling Driver Behavior in a Connected Environment: Integrated Microscopic Simulation of Traffic and Mobile Wireless Telecommunication Systems Talebpour, Alireza; Mahmassani, Hani S.; Bustamante, Fabián E. Transportation Research Record: Journal of the Transportation Research Board, Vol. 2560, Issue 1 https://doi.org/10.3141/2560-09	journal	January 2016
Economy-oriented vehicle adaptive cruise control with coordinating multiple objectives function Eben Li, Shengbo; Li, Keqiang; Wang, Jianqiang Vehicle System Dynamics, Vol. 51, Issue 1 https://doi.org/10.1080/00423114.2012.708421	journal	January 2013
Cooperative Adaptive Cruise Control: Driver Acceptance of Following Gap Settings Less than One Second Nowakowski, Christopher; O'Connell, Jessica; Shladover, Steven E. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, Vol. 54, Issue 24 https://doi.org/10.1177/154193121005402403	journal	September 2010
Near-Crash Identification in a Connected Vehicle Environment Talebpour, Alireza; Mahmassani, Hani S.; Mete, Fiorella Transportation Research Record: Journal of the Transportation Research Board, Vol. 2424, Issue 1 https://doi.org/10.3141/2424-03	journal	January 2014
Influence of connected and autonomous vehicles on traffic flow stability and throughput Talebpour, Alireza; Mahmassani, Hani S. Transportation Research Part C: Emerging Technologies, Vol. 71 https://doi.org/10.1016/j.trc.2016.07.007	journal	October 2016
Analysis of the Effects of Connected–Automated Vehicle Technologies on Travel Demand Auld, Joshua; Sokolov, Vadim; Stephens, Thomas S. Transportation Research Record: Journal of the Transportation Research Board, Vol. 2625, Issue 1 https://doi.org/10.3141/2625-01	journal	January 2017
Impacts of Cooperative Adaptive Cruise Control on Freeway Traffic Flow Shladover, Steven E.; Su, Dongyan; Lu, Xiao-Yun Transportation Research Record: Journal of the Transportation Research Board, Vol. 2324, Issue 1 https://doi.org/10.3141/2324-08	journal	January 2012
Are we ready to embrace connected and self-driving vehicles? A case study of Texans Bansal, Prateek; Kockelman, Kara M. Transportation, Vol. 45, Issue 2 https://doi.org/10.1007/s11116-016-9745-z	journal	November 2016
Taxonomy of Shared Autonomous Vehicle Fleet Management Problems to Inform Future Transportation Mobility Hyland, Michael F.; Mahmassani, Hani S. Transportation Research Record: Journal of the Transportation Research Board, Vol. 2653, Issue 1 https://doi.org/10.3141/2653-04	journal	January 2017
A Formal Basis for the Heuristic Determination of Minimum Cost Paths Hart, Peter; Nilsson, Nils; Raphael, Bertram IEEE Transactions on Systems Science and Cybernetics, Vol. 4, Issue 2 https://doi.org/10.1109/TSSC.1968.300136	journal	January 1968

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97 MATHEMATICS AND COMPUTING
connected vehicles
autonomous vehicles
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energy
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traffic flow
value of time
willingness to pay

Title: Impact of Privately-Owned Level 4 CAV Technologies on Travel Demand and Energy

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