Chapter
Jul 2, 2019
A Cooperative Scheduling Framework for Shared Transportation Services
Authors: Xinli Wang, Yanan Qiao, Tianyu Wang, Jifu Guo, Xuesong Zhou, Kai Xian, Lu (Carol) Tong, and Jindong Xie [email protected]Author Affiliations
Publication: CICTP 2019
Abstract
To improve the efficiency of metropolitan shared transportation services (STS), this paper proposes a cooperative scheduling framework to avoid congestion. Two procedures are considered: shared path scheduling and congestion solving. In a known static traffic network, classic vehicle routing problem (VRP) solutions may obtain an optimal path. But with an increasing number of shared transportation services required, congestion is likely, triggered by open loop VRP scheduling, especially when shared vehicles overwhelm private ones. Dynamic traffic assignment (DTA) solutions could be employed for short-term traffic situation prediction. However, VRP and DTA cannot be combined linearly, due to uncontrolled recursive calls of routing procedures within VRP and DTA. Hence, a software structure is further studied to guarantee convergence of the cooperative framework. Using two open-source transportation packages, VRPLite and DTALite, we test our framework with the Western 3rd Ring Road of the Beijing regional network. Results verify the framework’s usability and flexibility.
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© 2019 American Society of Civil Engineers.
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Published online: Jul 2, 2019
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Xinli Wang
National Engineering Laboratory for Comprehensive Transportation Big Data Application Technology; School of Transportation Science and Engineering, Beihang Univ., Beijing 100191, China.
Yanan Qiao
State Key Lab of Software Development Environment, School of Computer Science and Engineering, Beihang Univ., Beijing 100191, China.
Tianyu Wang
National Engineering Laboratory for Comprehensive Transportation Big Data Application Technology; School of Transportation Science and Engineering, Beihang Univ., Beijing 100191, China.
Jifu Guo
Beijing Transport Institute, No. 9 LiuLiQiao South Lane, Fengtai District, Beijing, P.R. China.
Xuesong Zhou
Beijing Transport Institute, No. 9 LiuLiQiao South Lane, Fengtai District, Beijing, P.R. China.
Kai Xian
Beijing Transport Institute, No. 9 LiuLiQiao South Lane, Fengtai District, Beijing, P.R. China.
Lu (Carol) Tong
National Engineering Laboratory for Comprehensive Transportation Big Data Application Technology; School of Electronic and Information Engineering, Beihang Univ., Beijing 100191, China.
National Engineering Laboratory for Comprehensive Transportation Big Data Application Technology; School of Electronic and Information Engineering, Beihang Univ., Beijing 100191, China. E-mail: [email protected]
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