Chapter
Jul 2, 2019
A Scheduling Method of Sharing Automated Taxi Based on Multi-Objective Decision
Authors: Haiyang Yu [email protected], Yang Yang [email protected], Yilong Ren [email protected], Zirui Wang [email protected], and Can Yang [email protected]Author Affiliations
Publication: CICTP 2019
Abstract
In this paper, we proposed a scheduling method of sharing automated taxi service based on multi-objective decision, which defines that the system provides transportation services in urban areas and achieves effective ways of door-to-door transportation service. Considering the user’s willingness to carpool and the cost of travel time and route, we established a model and proposed an improved PSO algorithm for model solving. In this way, we can realize sharing travel. Ultimately, we conducted a small case study, using Matlab to carry out simulation experiments, applying the automated taxi system to a business district. In order to achieve system optimization based on known passengers’ travel demand such as origin, destination, and travel time, we prefer users with the same travel route when the automated taxi matches. The results show that the model is suitable for small case studies, and the algorithm has good convergence and stability.
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© 2019 American Society of Civil Engineers.
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Published online: Jul 2, 2019
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School of Transportation Science and Engineering, Beihang Univ., Xue Yuan Rd. No. 37, HaiDian District, Beijing 100191, China; Beijing Key Laboratory of Vehicle Road Coordination and Safety Control, Beijing 100191, China; Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang Univ., Beijing 100191, China. E-mail: [email protected]
School of Transportation Science and Engineering, Beihang Univ., Xue Yuan Rd. No. 37, HaiDian District, Beijing 100191, China. E-mail: [email protected]
School of Transportation Science and Engineering, Beihang Univ., Xue Yuan Rd. No. 37, HaiDian District, Beijing 100191, China; Beijing Key Laboratory of Vehicle Road Coordination and Safety Control, Beijing 100191, China; Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang Univ., Beijing 100191, China. E-mail: [email protected]
School of Transportation Science and Engineering, Beihang Univ., Xue Yuan Rd. No. 37, HaiDian District, Beijing 100191, China. E-mail: [email protected]
Hefei Innovation Research Institute, Beihang Univ., Xinzhan Hi-Tech District, Anhui 230013, China. E-mail: [email protected]
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