Open Access Open Access  Restricted Access Subscription or Fee Access

Design and Simulation of Traffic Light Control System at Two Intersections Using Max-Plus Model Predictive Control

Endra Joelianto, Herman Y. Sutarto, Davindra Giovanno Airulla, Muhammad Zaky

Abstract



This paper considers a traffic light system optimization within two nearby intersections to deal with the most minimum traffic queue. Including an effort within this scope is to prevent the likelihood of spillover by creating a certain limit for the lane between both intersections. The traffic light system is made adaptive based on a flow model of each cycle obtained from actual conditions in the city of Surabaya, Indonesia. The flow model is grouped into several time clusters based on the similarity of each flow with the Gaussian distribution assumption. The flow model is then used on the traffic model system in order to predict the queue length when the duration of the traffic light is being manipulated. Simulation is carried out in SUMO by combining the max-plus model and stochastic traffic flow data. An approximate optimum solution of traffic light duration is solved by means of the model predictive control framework.

Keywords


Clustering, max-plus model predictive control, urban transportation, intelligent traffic system, stochastic hybrid system.

Full Text:

PDF


Disclaimer/Regarding indexing issue:

We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information. Also: DOI is paid service which provided by a third party. We never mentioned that we go for this for our any journal. However, journal have no objection if author go directly for this paid DOI service.