2017/05/10 by Yicheng Zhang, Zhang, Yicheng, Rong Su +5 · 8 citations
Decision Sciences · Engineering · Mathematics · Social Sciences · #Artificial intelligence #Computer science #Control (management) #Distributed computing #Engineering #FOS: Mathematics #Homogeneous #Mathematical optimization #Mathematics #Microsimulation #Multiplier (economics) #Optimization and Control (math.OC) #Real-time computing #SIGNAL (programming language) #Simulation Techniques and Applications #Traffic control and management #Traffic generation model #Transport engineering #Transportation Planning and Optimization #VisSim #math.OC
paper · pdf · doi:10.48550/arxiv.1705.03713
published in arXiv (Cornell University) (Cornell University)
arxiv created 2017/05/10 · openalex publication_date 2017/05/10 · arxiv updated 2017/05/11 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
An urban traffic system is a heterogeneous system, which consists of different types of intersections and dynamics. In this paper, we focus on one type of heterogeneous traffic network, which consists of signalized junctions and non-signalized ones, where in the latter case vehicles usually follow the first-in-first-out principle. We propose a novel model describing the dynamic behaviors of such a system and validate it via simulations in VISSIM. Upon such a new model, a signal control problem for a heterogeneous traffic network is formulated as a mixed integer programming problem, which is solved by a Lagrangian multiplier based hierarchical distributed approach. Comparisons between a homogeneous traffic system and a heterogeneous one are provided, which leaves the door open for developing a systematic planning approach on deciding what traffic junctions require signal control to ensure a good traffic control performance, thus, have a great social and economic potentials, considering that it is rather expensive to have signal control in an urban area.