A Real-time Bus Traveling Speed Optimization Model for Reducing bus delay and CO2 Emission in Connected Vehicle Environment

被引:0
|
作者
Wu, Wei [1 ]
Chen, Qianru [1 ]
Wang, Youfang [1 ]
Zhang, Yi [2 ]
机构
[1] Changsha Univ Sci & Technol, Key Lab Highway Engn, Minist Educ, Changsha 410114, Hunan, Peoples R China
[2] Shanghai Jiao Tong Univ, Sch Naval Architecture Ocean & Civil Engn, Shanghai 200240, Peoples R China
基金
中国国家自然科学基金;
关键词
PERFORMANCE; PRIORITY;
D O I
10.3303/CET1651034
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Public transportation plays an important part in sustainable motorization and urbanization. This research presents a novel bus speed operation strategy to reduce bus delay and CO2 emission within connected vehicle environment. Most previous work merely focuses on optimization of signal timings to decrease bus signal delay by assuming that the speed of buses is given as a constant input and the acceleration and deceleration processes of buses can be neglected. This paper explores the benefits of bus speed control strategy to minimize the total cost that includes bus signal delay and bus travel delay caused by adjusting speed due to frequent stops and intense driving. A set of formulations are developed to capture the benefits of bus speed control. Experimental analyses have shown that the proposed model outperforms the traditional control strategy in terms of reducing average bus delay and CO2 emission.
引用
收藏
页码:199 / 204
页数:6
相关论文
共 31 条
  • [1] Designing Sustainable Public Transportation: Integrated Optimization of Bus Speed and Holding Time in a Connected Vehicle Environment
    Wu, Wei
    Ma, Wanjing
    Long, Kejun
    Zhou, Heping
    Zhang, Yi
    [J]. SUSTAINABILITY, 2016, 8 (11)
  • [2] Real-time bus travel speed estimation model based on bus GPS data
    Weng, Jiancheng
    Wang, Chang
    Huang, Hainan
    Wang, Yueyue
    Zhang, Ledian
    [J]. ADVANCES IN MECHANICAL ENGINEERING, 2016, 8 (11) : 1 - 10
  • [3] Probabilistic Modeling and Optimization of Real-Time Protocol for Multifunction Vehicle Bus
    Lifan Su
    Min Zhou
    Hai Wan
    Ming Gu
    [J]. Tsinghua Science and Technology, 2016, 21 (05) : 561 - 569
  • [4] Probabilistic Modeling and Optimization of Real-Time Protocol for Multifunction Vehicle Bus
    Su, Lifan
    Zhou, Min
    Wan, Hai
    Gu, Ming
    [J]. TSINGHUA SCIENCE AND TECHNOLOGY, 2016, 21 (05) : 561 - 569
  • [5] A real-time optimization model for bus control in a transit corridor: comparison of social objectives
    Bocanegra-Herrera, Claudia C.
    Balcazar-Camacho, Delio A.
    Vega, Felix
    [J]. 2018 ICAI WORKSHOPS (ICAIW), 2018,
  • [6] Real-time CO2 monitoring shows emission changes
    Bourzac, Katherine
    [J]. CHEMICAL & ENGINEERING NEWS, 2021, 99 (22) : 8 - 8
  • [7] Dynamic real-time optimization for a CO2 capture process
    Thierry, David
    Biegler, Lorenz T.
    [J]. AICHE JOURNAL, 2019, 65 (07)
  • [8] Real-time Energy Optimization of Hybrid Electric Vehicle in Connected Environment Based on Deep Reinforcement Learning
    He, Weiliang
    Huang, Ying
    [J]. IFAC PAPERSONLINE, 2021, 54 (10): : 176 - 181
  • [9] Calculation Model of Bus Energy Consumption and CO2 Emission Based on Multi-source Data
    Xu, Long
    Wang, Li
    Liu, Ying
    Song, Guo-Hua
    Li, Chen-Xu
    Zhai, Zhi-Qiang
    [J]. Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology, 2020, 20 (03): : 174 - 181
  • [10] Development of a microscale emission factor model for CO for predicting real-time motor vehicle emissions
    Singh, RB
    Huber, AH
    [J]. JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION, 2000, 50 (11): : 1980 - 1991