Urban Road Sections Travel Time Estimation Based on Real-time Traffic Information

DOI

10.2991/iccasm.2012.307How to use a DOI?

Keywords

Intelligence transportation system, Dynamic guidance system, Road section travel time estimate, Support vector regression

Abstract

Urban transportation dynamic guidance system's foundation is estimation accurately of the road section travel time. At present exists the method needs to carry on the model to the complex transportation system or is only is suitable under specific traffic conditions, causes the travel time estimation not exactly. Introduces SVR in the road section travel time estimation, proposed the road section travel time estimate's feature vectors, had considered the traffic light to travel time's influence, and the identical road section travel time according to the direct moving, left-turn, right-turn are estimated respectively, then raises the estimate rate of accuracy. The experiment results indicated that with certain sampling interval, estimate the urban road 4 kind of road section travel times, the relative error is smaller than 10%, can construct the urban transportation dynamic guidance system's necessity satisfied.

Copyright

© 2012, 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  - Tu Xu
AU  - Changlin Wang
PY  - 2012/08
DA  - 2012/08
TI  - Urban Road Sections Travel Time Estimation Based on Real-time Traffic Information
BT  - Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)
PB  - Atlantis Press
SP  - 1205
EP  - 1209
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccasm.2012.307
DO  - 10.2991/iccasm.2012.307
ID  - Xu2012/08
ER  -