Research on Integrated Optimization Approach for Car-sharing Systems

Authors

Tang Jie, Institute of Transportation Engineering, Hohhot 010070, China;
Jinxin Cao, Institute of Transportation Engineering, Hohhot 010070, China;

Abstract

Abstract: Effective scheduling and routing of employees and vehicles determines the efficiency of car-sharing systems. Aiming at the scheduling of shared cars within one day, with the objective of minimizing the total system costs and personnel costs, a bi-level optimization model for multiple traveling salesman problem with time windows is established. A genetic algorithm with multi-chromosome coding and the optimized complex mutation operator are developed for the problem solution. From the comprehensive computational experiments, it can be concluded that the total numbers of vehicles and employees with the joint routing plans satisfying the order constraints can be obtained in minimum total costs.

Recommended Citation

Jie, Tang and Cao, Jinxin (2021) "Research on Integrated Optimization Approach for Car-sharing Systems," Journal of System Simulation: Vol. 33: Iss. 8, Article 23.
DOI: 10.16182/j.issn1004731x.joss.20-0236
Available at: https://dc-china-simulation.researchcommons.org/journal/vol33/iss8/23

First Page

1959

Revised Date

2020-06-09

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.20-0236

Last Page

1968

CLC

U1;TP391

Recommended Citation

Tang Jie, Cao Jinxin. Research on Integrated Optimization Approach for Car-sharing Systems[J]. Journal of System Simulation, 2021, 33(8): 1959-1968.

Corresponding Author

Jinxin Cao,

DOI

10.16182/j.issn1004731x.joss.20-0236