Safety Analysis of the Eco-Approach and Departure Application at a Signalized Corridor

被引:0
|
作者
Weixia Li [1 ]
Guoyuan Wu [2 ]
Yi Zhang [1 ]
Matthew J.Barth [2 ]
机构
[1] the Department of Automation, Tsinghua University
[2] Bourns College of Engineering–Center for Environmental Research and Technology (CE-CERT), University of California,Riverside
基金
中国国家自然科学基金;
关键词
Eco-Approach and Departure(EAD); Surrogate Safety Assessment Model(SSAM); safety analysis; conflict type; Time-To-Collision(TTC);
D O I
暂无
中图分类号
U463 [汽车结构部件]; X734.2 [汽车];
学科分类号
080204 ; 082304 ; 083002 ;
摘要
Various intelligent transportation systems and strategies for reducing vehicle fuel consumption and emissions have been developed. Energy and emissions could be reduced with the compromise of travel time in some environment-focused Connected Vehicle(CV) applications, which highlighted performance measures in terms of mobility and sustainability. Nevertheless, few studies have focused on safety assessment of such CV applications. In this study, a CV-based eco-driving application, namely, Eco-Approach and Departure(EAD), is selected as an example. A microscopic safety analysis tool, Surrogate Safety Assessment Model(SSAM), is utilized to assess the safety influence of EAD application in multiple scenarios. Further analysis is performed from two perspectives:(1) application users, i.e., EAD-equipped vehicles versus unequipped vehicles; and(2) traffic operators, i.e., overall traffic performance with and without the introduction of EAD. For each perspective, conflict statistics(e.g., frequency, time-to-collision distribution), overall and by type, are analyzed. Results indicate EAD is beneficial in improving the safety performance of equipped vehicles. The influence of EAD on overall traffic is scenario dependent, and a high penetration rate shows positive effects on network-wide safety benefits for most scenarios.
引用
收藏
页码:157 / 171
页数:15
相关论文
共 50 条
  • [21] GlidePath: Eco-Friendly Automated Approach and Departure at Signalized Intersections
    Altan, Osman D.
    Wu, Guoyuan
    Barth, Matthew J.
    Boriboonsomsin, Kanok
    Stark, John A.
    [J]. IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2017, 2 (04): : 266 - 277
  • [22] Longitudinal Control Strategy for Connected Electric Vehicle with Regenerative Braking in Eco-Approach and Departure
    Bautista-Montesano, Rolando
    Galluzzi, Renato
    Mo, Zhaobin
    Fu, Yongjie
    Bustamante-Bello, Rogelio
    Di, Xuan
    [J]. APPLIED SCIENCES-BASEL, 2023, 13 (08):
  • [23] Enhanced Eco-Approach Control of Connected Electric Vehicles at Signalized Intersection With Queue Discharge Prediction
    Dong, Haoxuan
    Zhuang, Weichao
    Chen, Boli
    Yin, Guodong
    Wang, Yan
    [J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2021, 70 (06) : 5457 - 5469
  • [24] Integrating vehicle trajectory planning and arterial traffic management to facilitate eco-approach and departure deployment
    Liu, Hao
    Kurzhanskiy, Alex A.
    Hong, Wanshi
    Lu, Xiao-Yun
    [J]. JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS, 2024,
  • [25] An eco-approach to modularity in urban living
    Borsos, Ágnes
    Balogh, Jeno
    Kokas, Balázs
    Bachmann, Bálint
    [J]. International Journal of Design and Nature and Ecodynamics, 2019, 14 (02): : 83 - 90
  • [26] Development and Evaluation of an Enhanced Eco-Approach Traffic Signal Application for Connected Vehicles
    Xia, Haitao
    Wu, Guoyuan
    Boriboonsomsin, Kanok
    Barth, Matthew J.
    [J]. 2013 16TH INTERNATIONAL IEEE CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS - (ITSC), 2013, : 296 - 301
  • [27] Infrastructure enabled eco-approach for transit system: A simulation approach
    Li, Xin
    Xu, Weihan
    Wang, Tianqi
    Yuan, Yun
    [J]. TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2022, 106
  • [28] An eco-approach to optimise efficiency and productivity of a hydraulic excavator
    Ng, Felix
    Harding, Jennifer A.
    Glass, Jacqueline
    [J]. JOURNAL OF CLEANER PRODUCTION, 2016, 112 : 3966 - 3976
  • [29] Lane-Level Navigation Based Eco-Approach
    Hu, Jia
    Lei, Mingyue
    Wang, Haoran
    Wang, Miao
    Ding, Chuan
    Zhang, Zihan
    [J]. IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 8 (04): : 2786 - 2796
  • [30] Enabling Eco-Approach Where Signal Timing is Unknown
    Li, Shuoyuan
    Wang, Guan
    Xiao, Xiao
    Xu, Zhenghao
    Hu, Jia
    Wang, Haoran
    [J]. 2023 IEEE 26TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS, ITSC, 2023, : 4994 - 4995