Link travel time estimation based on large-scale low-frequency floating car data

DOI

10.2991/rsete.2013.199How to use a DOI?

Keywords

travel time information, floating car data, signalized road networks

Abstract

With advances in information technologies, floating car data (FCD) (e.g. trajectories of taxis) becomes an important data source for collecting traffic information in urban road networks. Due to the low sampling frequency of FCD, it is a challenge to obtain accurate and reliable travel time estimation based on FCD. This paper presents a location-speed method for accurately estimating travel times in signalized road networks based on FCD. The proposed model utilizes trajectories of probe vehicles on the upstream and downstream of signalized intersections in order to estimate delays caused by traffic signals. A large-scale case study using real-world FCD in Wuhan is carried to validate the proposed method. The results of case study show that the proposed method can obtain satisfied estimation of travel times in signalized road networks.

Copyright

© 2013, 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  - Li Yuguang
AU  - Shi Chaoyang
AU  - Li Qingquan
PY  - 2013/08
DA  - 2013/08
TI  - Link travel time estimation based on large-scale low-frequency floating car data
BT  - Proceedings of the 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013)
PB  - Atlantis Press
SP  - 820
EP  - 824
SN  - 1951-6851
UR  - https://doi.org/10.2991/rsete.2013.199
DO  - 10.2991/rsete.2013.199
ID  - Yuguang2013/08
ER  -