Optimal Electric Bus Scheduling with Multiple Vehicle Types Considering Bus Crowding Degree-Reference-Cited by-同舟云学术

Optimal Electric Bus Scheduling with Multiple Vehicle Types Considering Bus Crowding Degree

Published:2023-02 Issue:2 Volume:149 Page:
ISSN:2473-2907
Container-title:Journal of Transportation Engineering, Part A: Systems
language:en
Short-container-title:J. Transp. Eng., Part A: Systems

Author:

Zhang Mingye¹,Yang Min²,Li Yu³,Chen Jingxu⁴,Lei Da¹

Affiliation:

1. Ph.D. Candidate, School of Transportation, Southeast Univ., No. 2 Southeast University Rd., Nanjing 211189, PR China; Jiangsu Key Laboratory of Urban Intelligent Transportation System, Southeast Univ., No. 2 Southeast University Rd., Nanjing 211189, PR China; Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast Univ., No. 2 Southeast University Rd., Nanjing 211189, PR China.

2. Professor, School of Transportation, Southeast Univ., No. 2 Southeast University Rd., Nanjing 211189, PR China; Jiangsu Key Laboratory of Urban Intelligent Transportation System, Southeast Univ., No. 2 Southeast University Rd., Nanjing 211189, PR China; Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast Univ., 2 Sipailou, Nanjing 210096, PR China (corresponding author).

3. Master’s Student, School of Transportation, Southeast Univ., No. 2 Southeast University Rd., Nanjing 211189, PR China; Jiangsu Key Laboratory of Urban Intelligent Transportation System, Southeast Univ., No. 2 Southeast University Rd., Nanjing 211189, PR China; Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast Univ., No. 2 Southeast University Rd., Nanjing 211189, PR China.

4. Associate Professor, School of Transportation, Southeast Univ., No. 2 Southeast University Rd., Nanjing 211189, PR China; Jiangsu Key Laboratory of Urban Intelligent Transportation System, Southeast Univ., No. 2 Southeast University Rd., Nanjing 211189, PR China; Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast Univ., No. 2 Southeast University Rd., Nanjing 211189, PR China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/JTEPBS.TEENG-7518

Reference35 articles.

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3. Optimization of electric bus scheduling considering stochastic volatilities in trip travel time and energy consumption

4. Public-transport vehicle scheduling with multi vehicle type;Ceder A.;Transp. Res. C Emerging Technol.,2011

5. Chang, Z. 2018. Combinational scheduling of skip-stop bus considering passenger choice behavior. Xi’an, China: Chang’an Univ.

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