Decentralization and Security in Dynamic Traffic Light Control
Title | Decentralization and Security in Dynamic Traffic Light Control |
Publication Type | Conference Paper |
Year of Publication | 2016 |
Authors | Lou, Jian, Vorobeychik, Yevgeniy |
Conference Name | Proceedings of the Symposium and Bootcamp on the Science of Security |
Publisher | ACM |
Conference Location | New York, NY, USA |
ISBN Number | 978-1-4503-4277-3 |
Keywords | artificial intelligence security, decentralization and security, game theoretic security, game theoretical model, Metrics, Neural Network, Neural networks, neural networks security, policy-based governance, pubcrawl, Resiliency, simulation-based method, traffic control system |
Abstract | Complex traffic networks include a number of controlled intersections, and, commonly, multiple districts or municipalities. The result is that the overall traffic control problem is extremely complex computationally. Moreover, given that different municipalities may have distinct, non-aligned, interests, traffic light controller design is inherently decentralized, a consideration that is almost entirely absent from related literature. Both complexity and decentralization have great bearing both on the quality of the traffic network overall, as well as on its security. We consider both of these issues in a dynamic traffic network. First, we propose an effective local search algorithm to efficiently design system-wide control logic for a collection of intersections. Second, we propose a game theoretic (Stackelberg game) model of traffic network security in which an attacker can deploy denial-of-service attacks on sensors, and develop a resilient control algorithm to mitigate such threats. Finally, we propose a game theoretic model of decentralization, and investigate this model both in the context of baseline traffic network design, as well as resilient design accounting for attacks. Our methods are implemented and evaluated using a simple traffic network scenario in SUMO. |
URL | http://doi.acm.org/10.1145/2898375.2898384 |
DOI | 10.1145/2898375.2898384 |
Citation Key | lou_decentralization_2016 |