Optimizing Adaptive Signalized Intersections: A Cooperative Game Theory Approach
Publication: Computing in Civil Engineering 2023
ABSTRACT
Adaptive signalized intersections can significantly enhance the traffic characteristics of transportation networks. This research aims to utilize a cooperative game theory approach, Shapley value, to optimize the green times of signalized intersections in a network. This is achieved through simulating the current traffic characteristic of a network, then applying Shapley value to calculate the optimized green times of phases in the intersection based on their marginal contribution to the overall network performance. The proposed model is developed and simulated on PTV VISSIM. The optimization module is coded via Python through the integrated COM interface. The proposed approach is developed and tested on a case study in Cairo, Egypt, presenting its ability to optimize the overall traffic characteristics of a network. The model’s outcome is compared to optimized fixed time signal. The proposed approach improved the overall network performance, rather than achieving local optimal solutions at subsets of the network.
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Information & Authors
Information
Published In
Computing in Civil Engineering 2023
Pages: 555 - 563
History
Published online: Jan 25, 2024
ASCE Technical Topics:
- Adaptive systems
- Business management
- Case studies
- Decision making
- Engineering fundamentals
- Game theory
- Highway and road management
- Highway transportation
- Highways and roads
- Infrastructure
- Intersections
- Methodology (by type)
- Models (by type)
- Optimization models
- Practice and Profession
- Research methods (by type)
- Systems engineering
- Systems management
- Traffic engineering
- Traffic management
- Traffic models
- Traffic signals
- Transportation engineering
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