Environmental impact of autonomous cars considering platooning with buses in urban scenarios

被引:1
|
作者
Zhang, Yixin [1 ]
Chen, Xumei [1 ]
Ma, Jiaxin [1 ]
Yu, Lei [2 ,3 ]
机构
[1] Beijing Jiaotong Univ, Key Lab Transport Ind Big Data Applicat Technol Co, Minist Transport, Beijing 100044, Peoples R China
[2] Shandong Jiaotong Univ, Affiliated Fac, 3100 Cleburne Ave, Houston, TX 77004 USA
[3] Texas Southern Univ, Beijing Jiaotong Univ, 3100 Cleburne Ave, Houston, TX 77004 USA
基金
中国国家自然科学基金;
关键词
Connected and autonomous vehicle; Platooning; Environmental impacts; Aerodynamic forces; Vehicle specific power; LOOK-AHEAD CONTROL; FUEL CONSUMPTION; VEHICLES; EMISSIONS; GENERATORS; ENERGY;
D O I
10.1016/j.scs.2023.105106
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Platooning is an essential strategy for exploiting the benefits of connected and autonomous vehicles (CAV). Quantitative research is needed to understand the factors of influence, evaluation indicators, and analytical granularity of the environmental impacts of platooning fully. This study was performed to estimate the energy consumption and emissions impacts of platooning from an aerodynamics perspective under complex urban road conditions using low-cost methodology. Speed, acceleration, spacing, platoon composition, and vehicle position were analyzed. An aerodynamic analysis platform was established based on the lattice Boltzmann method (LBM). Energy and emissions models were developed based on vehicle specific power (VSP) to establish a mapping relationship between operating and environmental impacts. An impact estimation method based on the LBM and VSP is proposed. Vehicle test data were collected for a case study, and multiple scenarios were analyzed. The results show that high speed, low acceleration, and small spacing can improve the environmental benefits of platooning. The most significant benefits were achieved in the following vehicle position of the Bus-Car platoon scenario, with a maximum energy reduction rate of 61.26 % and a maximum emissions reduction of 56.23 %. The study contributes to designing management strategies and trajectory optimization considering the environmental benefits of platooning.
引用
收藏
页数:20
相关论文
共 50 条
  • [1] A methodology for measuring the environmental effect of autonomous bus considering platooning
    Zhang, Yixin
    Chen, Xumei
    Zhao, Yatao
    Ma, Jiaxin
    Yu, Lei
    TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2022, 107
  • [2] Pollution control by reduction of drag on cars and buses through platooning
    Mitra, Debojyoti
    Mazumdar, Asis
    INTERNATIONAL JOURNAL OF ENVIRONMENT AND POLLUTION, 2007, 30 (01) : 90 - 96
  • [3] Vehicular platooning experiments using autonomous slot cars
    Lad, Martin
    Herman, Ivo
    Hurak, Zdenek
    IFAC PAPERSONLINE, 2017, 50 (01): : 12596 - 12603
  • [4] Design and Development of Smart Cars Model for Autonomous Vehicles in a Platooning
    Luu, Duc Lich
    Lupu, Ciprian
    Chirita, Doinita
    2019 15TH INTERNATIONAL CONFERENCE ON ENGINEERING OF MODERN ELECTRIC SYSTEMS (EMES), 2019, : 21 - 24
  • [5] CHOICE BETWEEN CARS AND BUSES ON URBAN ROADS
    SHARP, CH
    JOURNAL OF TRANSPORT ECONOMICS AND POLICY, 1967, 1 (01) : 104 - 111
  • [6] Autonomous Truck Scheduling and Platooning Considering Cargo Consolidation
    Ran, Tanghong
    Chai, Zuoyu
    Xu, Min
    MATHEMATICS, 2024, 12 (23)
  • [7] Urban space consumption of cars and buses: an analytical approach
    Roca-Riu, Mireia
    Menendez, Monica
    Dakic, Igor
    Buehler, Samuel
    Ortigosa, Javier
    TRANSPORTMETRICA B-TRANSPORT DYNAMICS, 2020, 8 (01) : 237 - 263
  • [8] Impact of Non-platooning Vehicles in Connected Autonomous Vehicle Platooning
    Bandapally, Srikanth
    Vaidya, Binod
    Mouftah, Hussein T.
    2022 INTERNATIONAL WIRELESS COMMUNICATIONS AND MOBILE COMPUTING, IWCMC, 2022, : 431 - 436
  • [9] Trajectory planning and tracking of dynamic lane change for autonomous buses considering vehicle stability in dynamic traffic scenarios
    Nie, Zhigen
    Zhou, Yi
    Lian, Yufeng
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, 2024,
  • [10] Trajectory planning and tracking of dynamic lane change for autonomous buses considering vehicle stability in dynamic traffic scenarios
    Nie, Zhigen
    Zhou, Yi
    Lian, Yufeng
    Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 2024,