Next Article in Journal
FollowMe: One Social Importance-Based Collaborative Scheme in MONs
Previous Article in Journal
An Improved Approach for Text Sentiment Classification Based on a Deep Neural Network via a Sentiment Attention Mechanism
Article Menu
Issue 4 (April) cover image

Export Article

Open AccessArticle

A Method of Bus Network Optimization Based on Complex Network and Beidou Vehicle Location

1
School of Microelectronics, Shandong University, Jinan 250100, China
2
Traffic Police Detachment, Jinan Public Security Bureau, Jinan 250100, China
3
Jinan Public Transportation Corporation, Jinan 250100, China
*
Author to whom correspondence should be addressed.
Future Internet 2019, 11(4), 97; https://doi.org/10.3390/fi11040097
Received: 11 March 2019 / Revised: 28 March 2019 / Accepted: 11 April 2019 / Published: 15 April 2019
(This article belongs to the Section Smart System infrastructures and Cybersecurity)
  |  
PDF [3044 KB, uploaded 15 April 2019]
  |     |  

Abstract

Aiming at the problems of poor time performance and accuracy in bus stops network optimization, this paper proposes an algorithm based on complex network and graph theory and Beidou Vehicle Location to measure the importance of bus stops. This method narrows the scope of points and edges to be optimized and is applied to the Jinan bus stop network. In this method, the bus driving efficiency, which can objectively reflect actual road conditions, is taken as the weight of the connecting edges in the network, and the network is optimized through the network efficiency. The experimental results show that, compared with the original network, the optimized network time performance is good and the optimized network bus driving efficiency is improved. View Full-Text
Keywords: Beidou Vehicle Location; bus stops network; network efficiency; optimize Beidou Vehicle Location; bus stops network; network efficiency; optimize
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Dong, P.; Li, D.; Xing, J.; Duan, H.; Wu, Y. A Method of Bus Network Optimization Based on Complex Network and Beidou Vehicle Location. Future Internet 2019, 11, 97.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Future Internet EISSN 1999-5903 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top