Simulation Analysis of Self-driving Travelling Routes

Authors

Sun Ling, Shanghai Maritime University, Shanghai 201306, China;
Ya Dong, Shanghai Maritime University, Shanghai 201306, China;
Liu Wei, Shanghai Maritime University, Shanghai 201306, China;
Guanyun Yang, Shanghai Maritime University, Shanghai 201306, China;

Abstract

Abstract: China's tourism industry develops rapidly. By building self-driving traveling plan model and using traversal algorithm and stochastic optimization algorithm, the area optimal travel plans with Matlab simulation are obtained. If traveling time is too long in one area, the K-mean clustering algorithm can be used to divide it into two parts for simulation. A case study of 5A attractions in China is used for establishing a national self-driving traveling plan model. The concept of the Time Value is proposed. By comparing the travel modes of plane, train and car, the common model is established. The sensitivity analysis of Time Value is carried out, and the best traveling way for different Value Time crowd is obtained. The appropriate travel modes and routes for different groups all over the country are recommended.

Recommended Citation

Ling, Sun; Dong, Ya; Wei, Liu; and Yang, Guanyun (2019) "Simulation Analysis of Self-driving Travelling Routes," Journal of System Simulation: Vol. 31: Iss. 3, Article 8.
DOI: 10.16182/j.issn1004731x.joss.17WJP-018
Available at: https://dc-china-simulation.researchcommons.org/journal/vol31/iss3/8

First Page

429

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.17WJP-018

Last Page

437

CLC

U116.2

Recommended Citation

Sun Ling, Dong Ya, Liu Wei, Yang Guanyun. Simulation Analysis of Self-driving Travelling Routes[J]. Journal of System Simulation, 2019, 31(3): 429-437.

DOI

10.16182/j.issn1004731x.joss.17WJP-018