A case study for traffic signal control system evaluation based on artificial transportation systems

This paper proposes a novel method to evaluate Traffic Signal Control System(TSCS) based on Artificial Transportation Systems(ATS). Using this method, we can generate travel demand based on individual´s activities and construct artificial traffic scenarios using basic rules. While interacting with ATS, TSCS can be evaluated by observing and analyzing the traffic status that emerged. The cost of the evaluation is decreased as artificial traffic environment can be constructed in the laboratory to substitute real environment and the evaluation can be carried out before the installation on site. Furthermore, as reasonable travel demand can be generated based on individual´s activities, the reliability of evaluation results can be guaranteed. Finally, the effectiveness of this method is verified by experiments.