Flexible Eco-Cruising Strategy for Connected and Automated Vehicles With Efficient Driving Lane Planning and Speed Optimization

被引:18
作者
Dong, Haoxuan [1 ]
Wang, Qun [2 ]
Zhuang, Weichao [3 ]
Yin, Guodong [3 ]
Gao, Kun [4 ]
Li, Zhaojian [5 ]
Song, Ziyou [1 ]
机构
[1] Natl Univ Singapore, Dept Mech Engn, Singapore 117575, Singapore
[2] Nanjing Univ Sci & Technol, Sch Mech Engn, Nanjing 210094, Peoples R China
[3] Southeast Univ, Sch Mech Engn, Nanjing 211189, Peoples R China
[4] Chalmers Univ Technol, Dept Architecture & Civil Engn, S-41296 Gothenburg, Sweden
[5] Michigan State Univ, Dept Mech Engn, E Lansing, MI 48824 USA
来源
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION | 2024年 / 10卷 / 01期
关键词
Optimization; Energy efficiency; Roads; Planning; Energy consumption; Costs; Mechanical engineering; Connected and automated vehicles (CAVs); driving lane planning; eco-driving; electric vehicles; speed optimization; ELECTRIC VEHICLES;
D O I
10.1109/TTE.2023.3289980
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Eco-cruising control of vehicles is a potential approach for improving vehicle energy efficiency and reducing travel time. However, many eco-cruising studies merely focused on vehicle longitudinal speed optimization but overlooked the lane change maneuvers, which may impair the benefits of eco-cruising when the vehicle encounters the slowly moving preceding vehicle (PV). This study proposes a flexible eco-cruising strategy (FECS) with efficient driving lane planning and speed optimization capabilities simultaneously for connected and automated vehicles (CAVs). The FECS is designed with a hierarchical control framework, where the first layer uses the Dijkstra algorithm to plan an efficient driving lane sequence considering the long-term effect of the PVs, then guides the second layer to optimize the vehicle's speed for saving energy using trigonometric speed profile. The optimized driving trajectory is implemented in the third layer by regulating the speed and yaw angle for guaranteeing safe intervehicle distance when uncertainties are present. Finally, stochastic simulation with randomized traffic flows and typical case analysis based on real-world traffic data are conducted to demonstrate the performance of the FECS The results manifest FECS's capability of lowering driving costs in moderate-flow and free-flow traffic. However, we note that the benefits are less pronounced in congested-flow traffic.
引用
收藏
页码:1530 / 1540
页数:11
相关论文
共 44 条
[1]  
Barth M., 2011, 2011 IEEE Forum on Integrated and Sustainable Transportation Systems (FISTS 2011), P182, DOI 10.1109/FISTS.2011.5973594
[2]   Making the Case for Electrified Transportation [J].
Bilgin, Berker ;
Magne, Pierre ;
Malysz, Pawel ;
Yang, Yinye ;
Pantelic, Vera ;
Preindl, Matthias ;
Korobkine, Alexandre ;
Jiang, Weisheng ;
Lawford, Mark ;
Emadi, Ali .
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION, 2015, 1 (01) :4-17
[3]  
Biral F, 2005, 2005 IEEE Intelligent Vehicles Symposium Proceedings, P36
[4]   Vehicle speed profiles to minimize work and fuel consumption [J].
Chang, DJ ;
Morlok, EK .
JOURNAL OF TRANSPORTATION ENGINEERING-ASCE, 2005, 131 (03) :173-182
[5]   Cooperative Time and Energy-Optimal Lane Change Maneuvers for Connected Automated Vehicles [J].
Chen, Rui ;
Cassandras, Christos G. ;
Tahmasbi-Sarvestani, Amin ;
Saigusa, Shigenobu ;
Mahjoub, Hossein Nourkhiz ;
Al-Nadawi, Yasir Khudhair .
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 23 (04) :3445-3460
[6]  
Dijkstra E.W., 1959, Edsger Wybe Dijkstra: His Life,Work, and Legacy, V1, P269, DOI 10.1007/BF01386390
[7]   Event-Driven Energy-Efficient Driving Control in Urban Traffic for Connected Electric Vehicles [J].
Dong, Haoxuan ;
Zhuang, Weichao ;
Ding, Haonan ;
Zhou, Quan ;
Wang, Yan ;
Xu, Liwei ;
Yin, Guodong .
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION, 2023, 9 (01) :99-113
[8]   Predictive energy-efficient driving strategy design of connected electric vehicle among multiple signalized intersections [J].
Dong, Haoxuan ;
Zhuang, Weichao ;
Chen, Boli ;
Lu, Yanbo ;
Liu, Shuaipeng ;
Xu, Liwei ;
Pi, Dawei ;
Yin, Guodong .
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2022, 137
[9]   A comparative study of energy-efficient driving strategy for connected internal combustion engine and electric vehicles at signalized intersections [J].
Dong, Haoxuan ;
Zhuang, Weichao ;
Chen, Boli ;
Wang, Yan ;
Lu, Yanbo ;
Liu, Ying ;
Xu, Liwei ;
Yin, Guodong .
APPLIED ENERGY, 2022, 310
[10]   Enhanced Eco-Approach Control of Connected Electric Vehicles at Signalized Intersection With Queue Discharge Prediction [J].
Dong, Haoxuan ;
Zhuang, Weichao ;
Chen, Boli ;
Yin, Guodong ;
Wang, Yan .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2021, 70 (06) :5457-5469