Optimal Skip-Stop Schedule under Mixed Traffic Conditions for Minimizing Travel Time of Passengers

Joint Authors

Ying, Ye
Dian-hai, Wang
Feng, Sun
Wen-tao, Zhu

Source

Discrete Dynamics in Nature and Society

Issue

Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-8, 8 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2013-11-20

Country of Publication

Egypt

No. of Pages

8

Main Subjects

Mathematics

Abstract EN

Given the lower efficiency resulting from the overload of bus stops, the capacity and travel time of passengers influenced by skip-stop operation are analyzed under mixed traffic conditions, and the travel time models of buses and cars are developed, respectively.

This paper proposes an optimization model for designing skip-stop service that can minimize the total travel time for passengers.

Genetic algorithm is adopted for finding the optimal coordination of the stopping stations of overall bus lines in an urban bus corridor.

In this paper, Tian-Mu-Shan Road of Hangzhou City is taken as an example.

Results show that the total travel time of all travelers becomes 7.03 percent shorter after the implementation of skip-stop operation.

The optimization scheme can improve the operating efficiency of the road examined.

American Psychological Association (APA)

Feng, Sun& Wen-tao, Zhu& Ying, Ye& Dian-hai, Wang. 2013. Optimal Skip-Stop Schedule under Mixed Traffic Conditions for Minimizing Travel Time of Passengers. Discrete Dynamics in Nature and Society،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-509077

Modern Language Association (MLA)

Feng, Sun…[et al.]. Optimal Skip-Stop Schedule under Mixed Traffic Conditions for Minimizing Travel Time of Passengers. Discrete Dynamics in Nature and Society No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-509077

American Medical Association (AMA)

Feng, Sun& Wen-tao, Zhu& Ying, Ye& Dian-hai, Wang. Optimal Skip-Stop Schedule under Mixed Traffic Conditions for Minimizing Travel Time of Passengers. Discrete Dynamics in Nature and Society. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-509077

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-509077