Modeling and control of signaling split in urban traffic network based on hybrid systems - Details

Author：

Yang, Jinkui (Yang, Jinkui.) | Zhang, Liguo (Zhang, Liguo.) (Scholars：张利国) | Chen, Yangzhou (Chen, Yangzhou.) (Scholars：陈阳舟) | Shi, Liang (Shi, Liang.)

Indexed by：

EI Scopus

Abstract：

The　operation　of　urban　traffic　network　remains　a　challenge　in　Intelligent　Transportation　Systems　(ITS)　due　to　the　intrinsic　complexity　of　traffic　systems.　In　this　paper,　for　the　sake　of　improving　the　network　efficiency,　we　present　a　Model　Predictive　Control　(MPC)　framework　for　urban　traffic　network　based　on　hybrid　systems,　which　formulates　split　control　as　an　MPC　problem.　Theoretical　results　ensure　convergence　of　iterations　to　a　globally　optimal　solution.　The　framework　is　applied　to　the　signaling　split　control　of　traffic　network.　To　validate　the　effectiveness　of　the　proposed　framework,　a　comparative　study　on　the　ZhongGuanCun　west　region,　Beijing　was　conducted　using　traffic　simulation　software.　Findings　indicate　that　the　proposed　control　strategy　is　more　efficient　to　reduce　delay　time　and　relieve　traffic　congestion　of　the　whole　traffic　network　when　compared　to　the　conventional　fixed　time　control.　©2010　IEEE.

Keyword：

Intelligent vehicle highway systems Hybrid systems Model predictive control Urban transportation Computer software Predictive control systems Intelligent systems Traffic congestion

Author Community：

[ 1 ] [Yang, Jinkui]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, 100124, China
[ 2 ] [Zhang, Liguo]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, 100124, China
[ 3 ] [Chen, Yangzhou]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, 100124, China
[ 4 ] [Shi, Liang]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, 100124, China