Car Travel Time Estimation near a Bus Stop with Non-motorized Vehicles

DOI

10.2991/ijcis.2011.4.6.28How to use a DOI?

Keywords

Time prediction; data mining; survival data; bus stop; mixed traffic flow; traffic safety.

Abstract

Real time system for vehicle travel time and traffic flow is an essential part of Intelligent Transportation Systems. In many Chinese cities, the interactions among buses, bicycles and cars bring difficulty to travel time prediction and traffic safety management. The aim of this paper is to develop a new model to estimate car travel time near bus stops in developing countries by data mining techniques and survival analysis methods. The travel time data under mixed traffic conditions are collected by video camera. Four influential factors including car volume, nonmotorized volume, bus departure volume and free ratio of bus stop are chosen by using data mining techniques. A proportional hazard-based duration model is proposed to analyze the factors related to car travel time. The results indicate that mixed traffic flow impacts the car travel time significantly. In addition, various factors can modify the travel time distribution in different degrees and the model can be used to estimate the travel time under assumed conditions. It is hoped to help improve the planning and designing of proper facilities with mixed traffic flow.

Copyright

© 2011, 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  - JOUR
AU  - Yang Xiaobao
AU  - Huan Mei
AU  - Guo Hongwei
AU  - Gao Liang
PY  - 2011
DA  - 2011/12/01
TI  - Car Travel Time Estimation near a Bus Stop with Non-motorized Vehicles
JO  - International Journal of Computational Intelligence Systems
SP  - 1350
EP  - 1357
VL  - 4
IS  - 6
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2011.4.6.28
DO  - 10.2991/ijcis.2011.4.6.28
ID  - Xiaobao2011
ER  -