| Issue |
MATEC Web Conf.
Volume 124, 2017
2017 6th International Conference on Transportation and Traffic Engineering (ICTTE 2017)
|
|
|---|---|---|
| Article Number | 02004 | |
| Number of page(s) | 5 | |
| Section | Traffic Facilities Construction and Operation System | |
| DOI | https://doi.org/10.1051/matecconf/201712402004 | |
| Published online | 29 September 2017 | |
Research on Short-term Prediction Model of Freeway Operation Situation
Highway Traffic Safety Engineering Research Center, Research Institute of Highway Ministry of Transport, Beijing, China
Based on the traffic flow data and accident data of Beijing-Tianjin-Tanggu freeway, the security situation short-term prediction model was established in the paper. Firstly, we established the risk prediction database, and developed the pre-analysis software of basic data; secondly, the traffic flow data between 10 to 15 minutes prior to the time of accident were aggregated at 5-minute level, and the volume, speed, occupancy as well as their statistical parameters were selected; finally, based on the correlation analysis results of parameter s, the multi-parameters Logistic regression model was established. The results indicate, the change of traffic flow parameters and their statistics can effectively predict the possibility of accident, in which the average value of speed of small car, the standard deviation of volume of large car and the average value of volume difference between large car and small car at 5-minute level have a significant impact on the risk of accident.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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