Research on Route Optimization of Pure Electric Vehicle under Joint Distribution Mode in City

CICTP 2018 ◽  
2018 ◽  
Author(s):  
Bing-shan Ma ◽  
Da-wei Hu ◽  
Qian Sun
Keyword(s):  
Electric Vehicle ◽  
Joint Distribution ◽  
Route Optimization ◽  
Distribution Mode

scholarly journals Modeling and Solution Algorithm for Optimization Integration of Express Terminal Nodes With a Joint Distribution Mode

2021 ◽  
Vol 33 (4) ◽  
pp. 142-166
Author(s):  
Fanchao Meng ◽  
Qingran Ji ◽  
Hongzhen Zheng ◽  
Huihui Wang ◽  
Dianhui Chu
Keyword(s):  
Joint Distribution ◽  
Simulated Annealing Algorithm ◽  
Low Cost ◽  
Rapid Development ◽  
Experimental Results ◽  
Neighborhood Search ◽  
Timely Manner ◽  
Integration Model ◽  
Distribution Mode ◽  
Annealing Algorithm

The rapid development of e-commerce has led to increased pressure on the express delivery industry to transport products to customers in a timely manner. The problem of how to deliver an increasing volume of express orders to customer clusters in a timely manner and at low cost with the joint distribution mode is becoming urgent. In this study, an express terminal node optimization and integration model is presented with an option to detach single customer clusters. In addition, the simulated annealing algorithm (SAA) based on neighborhood search that includes four rules is proposed to solve the problem. Contrast experiments are performed with SAA, the immune genetic algorithm (IGA), and the CPLEX solver. The experimental results indicate that IGA is less effective than SAA, and the running time of the IGA is longer. The CPLEX solver is less effective than the SAA, too. Additionally, the experimental results also show that every neighborhood rule proposed in this study plays a role in the optimization process.

Electric Vehicle Route Optimization Considering Time-of-Use Electricity Price by Learnable Partheno-Genetic Algorithm

2015 ◽  
Vol 6 (2) ◽  
pp. 657-666 ◽  
Author(s):  
Hongming Yang ◽  
Songping Yang ◽  
Yan Xu ◽  
Erbao Cao ◽  
Mingyong Lai ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Electric Vehicle ◽  
Electricity Price ◽  
Route Optimization ◽  
Vehicle Route

scholarly journals Optimization Strategy of Electric Vehicles Charging Path Based on “Traffic-Price-Distribution” Mode

Energies ◽  
2020 ◽  
Vol 13 (12) ◽  
pp. 3208
Author(s):  
Wanhao Yang ◽  
Hong Wang ◽  
Zhijie Wang ◽  
Xiaolin Fu ◽  
Pengchi Ma ◽  
...  
Keyword(s):  
Electric Vehicle ◽  
Network Model ◽  
Electric Vehicles ◽  
Distribution Network ◽  
Path Optimization ◽  
Optimization Strategy ◽  
Electric Vehicle Charging ◽  
Price Distribution ◽  
Distribution Mode ◽  
Vehicle Charging

According to the current optimization problem of electric vehicle charging path planning, a charging path optimization strategy for electric vehicles is proposed, which is under the “traffic-price-distribution” mode. Moreover, this strategy builds an electric vehicle charging and navigation system on the basis of the road traffic network model, real-time electricity price model and distribution network model. Based on the Dijkstra shortest path algorithm and Monte Carlo time-space prediction method, it gets the optimal charging path navigation with the goal of minimizing the charging cost of electric vehicles. The simulation results in MATLAB and MATPOWER (MATLAB R2018a, MATPOWER3.1b2, PSERC, Cannell University) show that the electric vehicle charging path optimization strategy can solve the local traffic congestion problem better and improve the safety and stability of the distribution network because of the fully considering the convenience of electric vehicle charging.

scholarly journals Route Optimization of Electric Vehicle considering Soft Time Windows and Two Ways of Power Replenishment

2020 ◽  
Vol 2020 ◽  
pp. 1-10 ◽  
Author(s):  
Ming Meng ◽  
Yun Ma
Keyword(s):  
Vehicle Routing ◽  
Electric Vehicle ◽  
Ant Colony Algorithm ◽  
Time Windows ◽  
Transportation Cost ◽  
Ant Colony ◽  
Route Optimization ◽  
Research Experience ◽  
Penalty Cost ◽  
Routing Optimization

Under the background of severe air pollution and energy shortage, electric vehicles (EVs) are promising vehicles to support green supply chain and clean production. In the world, the renewal of EVs has become a general trend. Therefore, the concern about EVs is a hot issue at present, but EVs have the characteristics of limited driving distance and long charging time. When the EVs are used in logistics transportation, these characteristics have a significant impact on the vehicle routing problems. Therefore, based on the research experience of traditional vehicle routing optimization, combining with the characteristics of EVs, this paper presents an optimal problem of electric vehicle routes with time windows based on two charging methods and it also designs a mathematical model which was caused by early and late arrival as the objective function to minimize the transportation cost, vehicle use cost, power supply cost, and penalty cost. The model is solved using an ant colony algorithm. Finally, the ant colony algorithm is tested and analysed with an example.

scholarly journals Location and Layout of Common Storage and Multichannel Common Distribution considering Time Windows

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Biqin Hu ◽  
Bin Yang ◽  
Wei Jiang ◽  
Zhe Yang ◽  
Mohammed Abdella Kemal
Keyword(s):  
Traffic Congestion ◽  
Search Algorithm ◽  
Time Windows ◽  
Urban Traffic ◽  
Route Optimization ◽  
Actual Distribution ◽  
Common Distribution ◽  
Distribution Mode ◽  
Stable Performance ◽  
Time Restriction

In the process of logistic activities of common storage and common distribution, due to problems such as urban traffic congestion period, parking restriction, working time restriction, and road restriction time, people often agree on the arrival time for customer orders, so that the receiving and delivering parties can connect in time and speed up unloading and distribution. Therefore, considering the actual distribution operation, it is necessary to consider the location and layout of common storage and multichannel common distribution in time windows. This paper takes multichannel common storage and common distribution as the research object, combines with the actual distribution situation, considers the location and distribution route optimization of the common storage and common distribution mode under the condition of time windows, takes the form of linking time windows with distribution time completion efficiency, and forms a reverse constraint on the objective function by time completion efficiency, thus realizing the double-objective optimization of “minimizing the total cost and satisfying the time windows.” In addition, through the comparison of various intelligent algorithms, find that the squirrel search algorithm (SSA) has more stable performance and better solution results.

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