@inproceedings{21b91a92b262449abe47875accd867c5,
title = "Truck Routing and Platooning Problem Considering Time-Varying Traffic Conditions",
abstract = "Truck platooning enabled by connected and automated vehicles (CAV) has shown great potential to reduce fuel consumption and save road space. However, the realization of these favorable benefits requires precise synchronization of the routes and schedules for the truck fleet subject to constantly changing traffic conditions caused by various factors, e.g., rush hour. Therefore, this study investigates the truck routing and platooning problem in consideration of the time-varying travel speeds. The problem is to seek time-compatible routes and schedules for the truck fleet while minimizing the fuel consumption via the formation of platoons over the entire trip without violating the service time window. We develop a mixed-integer linear programming (MILP) model for the proposed problem, which can be solved by state-of-the-art solvers like Gurobi. Numerical experiments are conducted to verify the efficacy of the proposed model and demonstrate the necessity to consider time-varying traffic conditions in truck routing and platooning.",
author = "Xiaoyuan Yan and Ting Wu and Min Xu",
note = "Funding Information: The work described in this paper was fully supported by a grant from the Research Grants Council of the Hong Kong Special Administrative Region, China (PolyU 15221821). Publisher Copyright: {\textcopyright} ASCE.; 22nd COTA International Conference of Transportation Professionals, CICTP 2022 ; Conference date: 08-07-2022 Through 11-07-2022",
year = "2022",
month = jul,
doi = "10.1061/9780784484265.286",
language = "English",
series = "CICTP 2022: Intelligent, Green, and Connected Transportation - Proceedings of the 22nd COTA International Conference of Transportation Professionals",
publisher = "American Society of Civil Engineers (ASCE)",
pages = "3039--3050",
editor = "Shanjiang Zhu and Junfeng Jiao and Hongqi Tian and Guangjun Gao and Xiaokun Wang and Yinggui Zhang and Pu Wang and Helai Huang",
booktitle = "CICTP 2022",
address = "United States",
}