Auction-based tolling systems in a connected and automated vehicles environment: Public opinion and implications for toll revenue and capacity utilization |
| |
| Institution: | 1. Modeling, Simulation, and Visualization Engineering Department, Old Dominion University, 132C Kaufman Hall, Norfolk, VA 23529, United States;2. Civil & Environmental Engineering Department, Old Dominion University, 135 Kaufman Hall, Norfolk, VA 23529, United States;1. Beijing Key Lab of Urban Intelligent Traffic Control Technology, North China University of Technology, Beijing 100144, China;2. School of Economics and Management, Beihang University, Beijing 100191, China;3. Key Lab of Complex System Analysis Management and Decision, Ministry of Education, China;1. Weatherall Institute of Molecular Medicine, University of Oxford, John Radcliffe Hospital, Headington, Oxford OX3 9DS, UK;2. Department of Haematology, Oxford University NHS Foundation Trust, Churchill Hospital, Oxford, UK;3. MRC Cancer Unit, Hutchison/MRC Research Centre, Cambridge, UK;4. Department of Haematology, St George''s University Hospitals NHS Foundation Trust, London, UK;1. Department of Civil Engineering, University of New Mexico, Albuquerque, NM 87131, USA;2. School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China;3. School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China;4. Department of Civil and Environmental Engineering, Rutgers University, New Brunswick, NJ 08901, USA;5. Department of Civil, Architectural, and Environmental Engineering, The University of Texas at Austin, Austin, TX 78712, USA;1. Department of Economics, University of California, Riverside, 4106 Sproul Hall, Riverside, CA 92521-0427, USA;2. Department of Economics, University of Arizona, 1130 E Helen Street, 401 McClelland Hall, Tucson, AZ85721-0108, USA;3. School of International Relations, Niavaran, Tehran 19367-83114, Iran |
| |
| Abstract: | Autonomous and connected vehicles are expected to enable new tolling mechanisms, such as auction-based tolls, for allocating the limited roadway capacity. This research examines the public perception of futuristic auction-based tolling systems, with a focus on the public acceptance of such systems over current tolling practices on highways (e.g., dynamic and fixed tolling methodologies). Through a stated-preference survey, responses from 159 road-users residing in Virginia are elicited to understand route choice behavior under a descending price auction implemented on a hypothetical two-route network. Analysis of the survey data shows that there is no outright rejection of the presented auction-based tolling among those who are familiar with the current tolling methods. While males strongly support the new method, no clear pattern emerges among other demographic variables such as income and education level, and age. While high income respondents and regular commuters are more likely to pay higher tolls, no statistical significance between different genders, age groups, household sizes, and education levels is found. Based on the modeling results and the hypothetical road network, it is found that descending price tolling method yields higher average toll rates, and generates at least 70% more revenue when travel time saving is 30 min, and improves capacity utilization of the toll road significantly compared to fixed tolls. |
| |
| Keywords: | Auction-based tolling Connected vehicles Autonomous vehicles Online survey Public attitudes Choice models |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
