Research on data acquisition time optimization of bus travel time prediction method

DOI

10.2991/wartia-16.2016.257How to use a DOI?

Keywords

Time prediction,Interval Optimization,Data acquisition

Abstract

The travel time prediction of the public transport system is of great significance to improve the traffic management and control. In this paper, the travel time prediction method of public transit system is studied by using the method of time interval optimization of traffic data acquisition and the minimum sample size of mobile detectors. First the basic principle of the detector and the basic method of calculation are introduced. Then, the experimental frame of the fixed detector and the mobile detector is given.Based on different data acquisition time intervals, a model is proposed to calculate the travel time prediction model and the dynamic optimization strategy is proposed. Finally, through the example proved the validity of the method. This method has high prediction accuracy, and is able to travel time prediction value of continuous optimization, prediction can provide a reference for the follow-up duration of intermittent epidemic

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Huiran Zhao
AU  - Lei Shi
AU  - Guangyao Li
AU  - Shidong Geng
PY  - 2016/05
DA  - 2016/05
TI  - Research on data acquisition time optimization of bus travel time prediction method
BT  - Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
PB  - Atlantis Press
SP  - 1219
EP  - 1225
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-16.2016.257
DO  - 10.2991/wartia-16.2016.257
ID  - Zhao2016/05
ER  -