Overview
This research project is connected to the COST 352 action, which analyses the influence of in-vehicle information systems on road safety requirements.
Microscopic traffic simulation tools use certain parameters for vehicle behaviour within a traffic flow.
The main goal is to improve the individual driver behaviour model in order to evaluate the road safety of a traffic flow using simulation models. The parameters to analyse are the vehicle speed, the headway, risk taking, lane changing, weaving, etc.
This research project will isolate the most important safety parameters and propose their evaluation based on microsimulation. Observation of real traffic will allow to adapt the model values to real conditions. In order to validate the developed evaluation model the safety evaluation results of certain modelled road stretches will be compared to the real accident statistics. Finally, the influence of driver information on the safety parameters will be also analysed.
This research project will isolate the most important safety parameters and propose their evaluation based on microsimulation. Observation of real traffic will allow to adapt the model values to real conditions. In order to validate the developed evaluation model the safety evaluation results of certain modelled road stretches will be compared to the real accident statistics. Finally, the influence of driver information on the safety parameters will also be analysed.
The main methods used in project are:
Bibliographical research, observation of traffic, traffic modelling.
Funding
Results
This study is a part of the COST 352 project and provides a framework for the elaboration of a proactive system aimed at reducing the risk of accidents on the highway by using risk indicators. Although highways are designed for driving safely the accidents that occurs are really serious. Reduction of the accident risks on the highway will prevent accidents or reduce their severity. For this purpose, the risk indicators are tested and validated with real data, including traffic data, meteorological data, and accident data based on a study of websites in Switzerland. A directive on how to define risk criteria is proposed and applied in a simulation model which creates the platform for implementation of a risks prevention proactive system.
Innovation aspects
Highway risk indicators.
Policy implications
Improving of safety on highways.