Probe-Based Study of Traffic Variability for the Design of Traffic Light Plans

• Published in: 2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS) pp. 353 - 360
• Main Authors: Rottenstreich, Ori, Buchnik, Eliav, Ferster, Shai, Kalvari, Tom, Karliner, Dan, Litov, Omer, Tur, Nitzan, Veikherman, Danny, Zagoury, Avishai, Haddad, Jack, Emanuel, Dotan, Hassidim, Avinatan
• Format: Conference Proceeding
• Language: English
• Published: IEEE 03.01.2024
• Subjects: Delays; Measurement; Probes; Signal resolution; Traffic control; Urban areas; Volume measurement
• ISSN: 2155-2509
• DOI: 10.1109/COMSNETS59351.2024.10426953

Computing efficient traffic signal plans is often based on the amount of traffic in an intersection, its distribution over the various intersection movements and hours as well as on performance metrics such as traffic delay. In their simple and typical form, plans are fixed in the same hour over weekdays. This allows low operation costs without the necessity for traffic detection and monitoring tools. A critical factor in the potential efficiency of such plans is the similarity of traffic patterns over the days along each of the intersection movements. In this paper, we study traffic variability and propose simple metrics to measure it based on traffic volume and traffic delay. We propose an automatic probe data-based method, for city-wide estimation of traffic variability. We discuss how such measures can be used for signal planning such as an indication of which intersections can benefit from dynamic but expensive traffic detection tools or in selecting plan resolution. Likewise, we discuss various methods to mitigate the impact of such variability. We demonstrate the framework based on real traffic statistics to study the traffic variability in the city of Haifa along its 162 intersections.