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A Mixed Integer Programming Approach for Autonomous and Connected Intersection Crossing Traffic Control

Title
A Mixed Integer Programming Approach for Autonomous and Connected Intersection Crossing Traffic Control
Authors
Lu, QiangKim, Kyoung Dae
DGIST Authors
Kim, Kyoung Dae
Issue Date
2018-08-30
Citation
88th IEEE Vehicular Technology Conference, VTC-Fall 2018
Type
Conference
ISBN
9781538663585
ISSN
1550-2252
Abstract
This paper presents an optimization-based approach for safe and efficient intersection crossing traffic management under autonomous and connected ground traffic environment. The proposed algorithm, named MICA (Mixed integer programming based Intersection Coordination Algorithm), generates the fastest intersection crossing discrete-time trajectory for each vehicle approaching an intersection. Constraints are carefully designed and incorporated into the optimization process to avoid collisions while crossing an intersection. The performance of the proposed MICA is evaluated through extensive simulations using a microscopic traffic simulator, SUMO. The simulation results show that MICA performs substantially better in terms of the traffic throughput compared to both an optimized traffic light mechanism and DICA which is an intersection control algorithm proposed in our earlier work. © 2018 IEEE.
URI
http://hdl.handle.net/20.500.11750/9840
DOI
10.1109/VTCFall.2018.8690681
Publisher
IEEE Vehicular Technology Society
Related Researcher
Files:
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Collection:
Department of Information and Communication EngineeringARC Lab2. Conference Papers


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