Worst-Case Response Time of Mixed Vehicles at Complex Intersections

• Type: Article in International Scientific Journal
• Date: 2024

Authors

Reddy, R (Author) Other; Luis Almeida (Author) FEUP; Kurunathan, H (Author) Other; Gaitán, MG (Author) Other; Santos, PM (Author) Other; Tovar, E (Author) Other

Journal

The Journal is awaiting validation by the Administrative Services.

Title: IEEE OPEN JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS

Vol. 23

Pages: 186-201

Indexing

ISI Web of Knowledge - 0 Citations

Scopus - 1 Citation

Other information

Authenticus ID: P-010-6WQ

DOI: 10.1109/ojits.2024.3368797

Abstract (EN): Operating autonomous vehicles (AVs) and human-driven vehicles (HVs) at urban intersections while observing requirements of safety and service level is complex due not only to the existence of multiple inflow and outflow lanes, conflicting crossing zones, and low-speed conditions but also due to differences between control mechanisms of HVs and AVs. Intelligent intersection management (IIM) strategies can tackle the coordination of mixed AV/HV intersections while improving intersection throughput and reducing travel delays and fuel wastage in the average case. An endeavor relevant to traffic planning and safety is assessing whether given worst-case service levels can be met. Given a specific arrival pattern, this can be done via the worst-case response time (WCRT) that any vehicle experiences when crossing intersections. In this research line, this paper estimates WCRT upper bounds and discusses the analytical characterization of arrival and service curves, including estimating maximum queue length and associated worst-case waiting time for various traffic arrival patterns. This analysis is then used to compare six state-of-the-art intersection management approaches from conventional to intelligent and synchronous. The analytical results show the advantage of employing a synchronous management approach and are validated with the vehicles floating car data (timestamped location and speed) and simulations carried out using SUMO.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 16