Analysis of Strategies for Truck Platooning Hybrid Strategy

被引:22
|
作者
Saeednia, Mahnam [1 ]
Menendez, Monica [1 ]
机构
[1] Swiss Fed Inst Technol Zurich, Inst Transport Planning & Syst IVT, CH-8093 Zurich, Switzerland
基金
瑞士国家科学基金会;
关键词
D O I
10.3141/2547-07
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Trucks typically use the same infrastructure as cars do, and this imposes negative effects on the overall traffic operations. To mitigate such effects as well as their negative environmental impacts, platooning of trucks can be considered a potential solution. For platooning a set of trucks, two main strategies are typically assumed: a catch-up strategy (i.e., the upstream trucks accelerate to catch up with the leading trucks) and a slow-down strategy (i.e., the leading trucks decelerate so that the upstream trucks can catch up and platoon with them). The behavior of trucks when platooning with either of these two strategies was analyzed. Then a hybrid platooning strategy was developed that combined the two approaches in an optimal manner. The performance of the hybrid strategy was further analyzed and compared with that of the individual approaches. Results show that the hybrid strategy is the most general scheme capable of forming a platoon in various cases. Moreover, it is the fastest strategy considering the required time for platooning. In regard to performance, the hybrid strategy is capable of forming a platoon using the maximum platooning speeds of trucks. These characteristics make it a suitable strategy for large-scale deployment in truck platooning.
引用
收藏
页码:41 / 48
页数:8
相关论文
共 50 条
  • [1] Fuel Emission Reduction by The Capacitated Hybrid Truck Platooning
    Liatsos, V.
    Iwannou, I.
    Golias, M.
    Kaiser, E. I.
    [J]. 2024 FORUM FOR INNOVATIVE SUSTAINABLE TRANSPORTATION SYSTEMS, FISTS, 2024,
  • [2] The capacitated hybrid truck platooning network design problem
    Liatsos, Vasileios
    Golias, Mihalis
    Hourdos, John
    Mishra, Sabyasachee
    [J]. TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2024, 181
  • [3] Investigation on Underhood Thermal Analysis of Truck Platooning
    Vegendla, Surya Narayana Prasa
    Sofu, Tanju
    Saha, Rohit
    Hwang, Long-Kung
    Kumar, Mahesh Madurai
    [J]. SAE INTERNATIONAL JOURNAL OF COMMERCIAL VEHICLES, 2018, 11 (01) : 5 - 15
  • [4] Truck platooning application
    Ellwanger, S.
    Wohlfarth, E.
    [J]. 2017 28TH IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV 2017), 2017, : 966 - 971
  • [5] Load Effect of Automated Truck Platooning on Highway Bridges and Loading Strategy
    Ling, Tianyang
    Deng, Lu
    He, Wei
    Wu, Haibing
    Deng, Jiayu
    [J]. SENSORS, 2022, 22 (20)
  • [6] Decentralized coordination for truck platooning
    Zeng, Yikai
    Wang, Meng
    Rajan, Raj Thilak
    [J]. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, 2022, 37 (15) : 1997 - 2015
  • [7] Itinerary planning for cooperative truck platooning
    Abdolmaleki, Mojtaba
    Shahabi, Mehrdad
    Yin, Yafeng
    Masoud, Neda
    [J]. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 2021, 153 : 91 - 110
  • [8] Optical Truck Tracking for Autonomous Platooning
    Winkens, Christian
    Fuchs, Christian
    Neuhaus, Frank
    Paulus, Dietrich
    [J]. COMPUTER ANALYSIS OF IMAGES AND PATTERNS, CAIP 2015, PT II, 2015, 9257 : 38 - 48
  • [9] Maximizing truck platooning participation with preferences
    Barua, Limon
    Zou, Bo
    Choobchian, Pooria
    [J]. TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2023, 179
  • [10] Evaluation of Safety Indicators for Truck Platooning
    van Nunen, Ellen
    Esposto, Francesco
    Saberi, Arash Khabbaz
    Paardekooper, Jan-Pieter
    [J]. 2017 28TH IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV 2017), 2017, : 1013 - 1018