Multi-Path Progression Optimization at an Urban Interchange: A Case Study
Item Type:Conference Paper
Citation:Sunbola Zatmeh-Kanj, Yossef Salomon, Michael Ben Chaim, Nathan Gartner, Multi-Path Progression Optimization at an Urban Interchange: A Case Study, 14th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP14), Dublin, Ireland, 2023.
submission_554.pdf (PDF) 907.6Kb
Progression optimization is a common approach for coordinating traffic signals along arterial streets as well as arterial networks. A number of techniques with varying degrees of refinement have been developed for this purpose (1-2). In recent years another layer of sophistication has been added by providing separate bands of progression for major origin-destination path flows crossing in-and-out of the arterial. A typical example where traffic turning in at intersection A and turning out at intersection C is allocated a separate band that enables it uninterrupted progression. This occurs in parallel with the two mainstream bands. The program that designs such bands utilizing vehicular traffic origin-destination information is called OD-BAND (3). This approach has been extended to provide progression opportunities for major O-D path flows in both arterials and in networks . The program uses a mixed-integer linear programming formulation to optimize all relevant signal parameters, including: green times, cycle time, phase sequences and offsets. A special case with added complexity concerns interchanges where multiple origin-destination path flows converge into a limited space, especially when traffic volumes are at or near capacity. In this paper we consider as a case study the Hashalom Interchange in Tel Aviv. This interchange consists of four closely-spaced intersections with multiple O-D flows. The different demand volumes create severe congestion in the middle-link which crosses over the Ayalon freeway. The objective is to determine optimal progressions that minimize travel time through the interchange and average vehicular delay. Two cases were analyzed: (a.) the existing pattern of flows; (b.) an optimized pattern using the OD-BAND model. This mixed-integer linear programming problem is solved by the CPLEX software . The results are then compared by microscopic simulation using the AIMSUN software. The results indicate that by careful selection of the major O-D path flows and using the MILP algorithm one can obtain substantial improvements in network performance. References 1. GARTNER, Nathan H., et al. MULTIBAND--a variable-bandwidth arterial progression scheme. Transportation Research Record, 1990, 1287.? . 2. ZHANG, Chao, et al. AM-band: an asymmetrical multi-band model for arterial traffic signal coordination. Transportation Research Part C: Emerging Technologies, 2015, 58: 515-531.? 3.ARSAVA, Tugba, et al. Arterial traffic signal coordination utilizing vehicular traffic origin-destination information. In: 17th International IEEE Conference on Intelligent Transportation Systems (ITSC). IEEE, 2014. p. 2132-2137.?
Other Titles:14th International Conference on Applications of Statistics and Probability in Civil Engineering(ICASP14)
Type of material:Conference Paper
Series/Report no:14th International Conference on Applications of Statistics and Probability in Civil Engineering(ICASP14)
Availability:Full text available