Self-organizing Traffic Signal Control with Prioritization Strategy Aided by Vehicular Sensor Network

Abstract : Preemption strategies are necessary for traffic signal control at intersections in a road network to ensure minimum delay of priority vehicles, such as ambulances or police cars. This paper introduces a decentralized algorithm, which extends the self-organizing signal control to provide preemption for the priority vehicles. The introduced algorithm enables effective utilisation of real-time data collected in vehicular sensor network (VSN). Results of simulation experiments show that the proposed approach ensures a quick passage of the priority vehicles and minimizes the negative effect of signal preemption on delays of non-priority vehicles. The new VSN-aided preemption strategy improves performance of the state-of-the-art methods that are based on road-side vehicle detectors and simple vehicle-to-infrastructure communication systems.
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Communication dans un congrès
Khalid Saeed; Władysław Homenda; Rituparna Chaki. 16th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM), Jun 2017, Bialystok, Poland. Springer International Publishing, Lecture Notes in Computer Science, LNCS-10244, pp.536-547, 2017, Computer Information Systems and Industrial Management. 〈10.1007/978-3-319-59105-6_46〉
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Marcin Lewandowski, Bartłomiej Płaczek, Marcin Bernas. Self-organizing Traffic Signal Control with Prioritization Strategy Aided by Vehicular Sensor Network. Khalid Saeed; Władysław Homenda; Rituparna Chaki. 16th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM), Jun 2017, Bialystok, Poland. Springer International Publishing, Lecture Notes in Computer Science, LNCS-10244, pp.536-547, 2017, Computer Information Systems and Industrial Management. 〈10.1007/978-3-319-59105-6_46〉. 〈hal-01656255〉

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