scholarly journals Electric vehicle routing problem with time windows, recharging stations and battery swapping stations

2018 ◽  
Vol 7 (4) ◽  
pp. 415-451 ◽  
Author(s):  
Amit Verma
Keyword(s):  
Vehicle Routing ◽  
Electric Vehicle ◽  
Vehicle Routing Problem ◽  
Time Windows ◽  
Routing Problem

Recharge strategies for the electric vehicle routing problem with soft time windows and fast chargers

2021 ◽  
Vol 15 (4/5) ◽  
pp. 444
Author(s):  
Zhenping Li ◽  
Guohua Wu ◽  
Ke Zhang ◽  
Shuxuan Li ◽  
Chenglin Xiao ◽  
...  
Keyword(s):  
Vehicle Routing ◽  
Electric Vehicle ◽  
Vehicle Routing Problem ◽  
Time Windows ◽  
Routing Problem ◽  
Soft Time Windows

The Electric Vehicle-Routing Problem with Time Windows and Recharging Stations

2014 ◽  
Vol 48 (4) ◽  
pp. 500-520 ◽  
Author(s):  
Michael Schneider ◽  
Andreas Stenger ◽  
Dominik Goeke
Keyword(s):  
Vehicle Routing ◽  
Electric Vehicle ◽  
Vehicle Routing Problem ◽  
Time Windows ◽  
Routing Problem

scholarly journals The Electric Vehicle Routing Problem With Time Windows and Multiple Recharging Options

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 114864-114875 ◽  
Author(s):  
Huiting Mao ◽  
Jianmai Shi ◽  
Yuzhen Zhou ◽  
Guoqing Zhang
Keyword(s):  
Vehicle Routing ◽  
Electric Vehicle ◽  
Vehicle Routing Problem ◽  
Time Windows ◽  
Routing Problem

scholarly journals Time-Dependent Electric Vehicle Routing Problem with Time Windows and Path Flexibility

2020 ◽  
Vol 2020 ◽  
pp. 1-19
Author(s):  
Li Wang ◽  
Shuai Gao ◽  
Kai Wang ◽  
Tong Li ◽  
Lin Li ◽  
...  
Keyword(s):  
Vehicle Routing ◽  
Electric Vehicle ◽  
Vehicle Routing Problem ◽  
Time Windows ◽  
Optimal Path ◽  
Travel Speed ◽  
Path Selection ◽  
Time Dependent ◽  
Mixed Integer ◽  
Routing Problem

With energy and environmental issues becoming increasingly prominent, electric vehicles (EVs) have become the important transportation means in the logistics distribution. In the real-world urban road network, there often exist multiple paths between any two locations (depot, customer, and charging station) since the time-dependent travel times. That is, the travel speed of an EV on each path may be different during different time periods, and thus, this paper explicitly considers path selection between two locations in the time-dependent electric vehicle routing problem with time windows, denoted as path flexibility. Therefore, the integrated decision-making should include not only the routing plan but also the path selection, and the interested problem of this paper is a time-dependent electric vehicle routing problem with time windows and path flexibility (TDEVRP-PF). In order to determine the optimal path between any two locations, an optimization model is established with the goal of minimizing the distance and the battery energy consumption associated with travel speed and cargo load. On the basis of the optimal path model, a 0-1 mixed-integer programming model is then formulated to minimize the total travel distance. Hereinafter, an improved version of the variable neighborhood search (VNS) algorithm is utilized to solve the proposed models, in which multithreading technique is adopted to improve the solution efficiency significantly. Ultimately, several numerical experiments are carried out to test the performance of VNS with a view to the conclusion that the improved VNS is effective in finding high-quality distribution schemes consisted of the distribution routes, traveling paths, and charging plans, which are of practical significance to select and arrange EVs for logistics enterprises.

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