Authors : Tomi Tristono, Setiyo Daru Cahyono, Sutomo and Pradityo Utomo
Abstract: This study describes the traffic lights control system for a signalized intersection with railway at the Southern arm. On regular state, the traffic lights schedule has been fitted with a fixed time strategy based on empirical data. At the reality, the intersection needs the traffic lights extra schedule that can adapt to the emergencies that caused by the railway doorstop closure. We construct the extension schedules that modeled by petri net time using classic fuzzy logic inference. The analysis and verification of the model using invariant, occurence graphs and petri net simulator 2.0 and Delphi 7 for simulation. This research purposes the traffic lights model with appropriate allocation of travel time in order to reduce the number of queues of vehicles. Especially while the train is passing and certain time intervals after the railway doorstop is opened. The traffic lights using extension schedules have better performance despite using the open-loop control system only.
Tomi Tristono, Setiyo Daru Cahyono, Sutomo and Pradityo Utomo, 2017. Traffic Lights Extension Schedules Control System with Classic Fuzzy Logic and Petri Net Time. Journal of Engineering and Applied Sciences, 12: 5630-5637.