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http://dx.doi.org/10.12815/kits.2022.21.6.70

Impact Assessment of an Autonomous Demand Responsive Bus in a Microscopic Traffic Simulation  

Sang ung Park (Lyles School of Civil Engineering, Purdue University)
Joo young Kim (Dept. of Transportation Planning & Management, Korea National University of Transportation)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.21, no.6, 2022 , pp. 70-86 More about this Journal
Abstract
An autonomous demand-responsive bus with mobility-on-demand service is an innovative transport compensating for the disadvantages of an autonomous bus and a demand-responsive bus with mobility-on-demand service. However, less attention has been paid to the quantitative impact assessment of the autonomous demand-responsive bus due to the technological complexity of the autonomous demand-responsive bus. This study simulates autonomous demand-responsive bus trips by reinforcement learning on a microscopic traffic simulation to quantify the impact of the autonomous demand-responsive bus. The Chungju campus of the Korea National University of Transportation is selected as a testbed. Simulation results show that the introduction of the autonomous demand-responsive bus can reduce the wait time of passengers, average control delay, and increase the traffic speed compared to the results with fixed route bus service. This study contributes to the quantitative evaluation of the autonomous demand-responsive bus.
Keywords
Autonomous Public Transportation; Demand-responsive bus; Mobility-on-demand; Microscopic traffic simulation; Passenger waiting time;
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Times Cited By KSCI : 4  (Citation Analysis)
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