Stochastic cell transmission model: Traffic state estimation under uncertainties

Agachai Sumalee, Renxin Zhong

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

5 Citations (Scopus)

Abstract

Traffic flow on freeway is a complex stochastic nonlinear phenomenon, with many complex interactions between vehicles and random perturbations such as traffic jams, incident and delay phenomenon. The Cell Transmission Model (CTM) is one of the most widely used dynamic link models for simulating dynamic traffic network. Its popularity is due to its simple formulation and low computation requirement. In this paper we develop a stochastic cell transmission model (SCTM) to model the evolution of traffic flows on freeways taking into account various uncertainties. We model the transportation network as stochastic system with various supply uncertainties (random variables). The SCTM is formulated by using analytical probability theory and is formulated into a discrete time bilinear stochastic system. A set of probablistic switching conditions is proposed to evaluate the joint traffic density.
Original languageEnglish
Title of host publicationProceedings of the 6th International Conference on Traffic and Transportation Studies Congress 2008
Subtitle of host publicationTraffic and Transportation Studies Congress 2008, ICTTS 2008
Pages462-478
Number of pages17
Volume322
Publication statusPublished - 1 Dec 2008
Event6th International Conference on Traffic and Transportation Studies Congress 2008: Traffic and Transportation Studies Congress 2008, ICTTS 2008 - Nanning, China
Duration: 5 Aug 20087 Aug 2008

Conference

Conference6th International Conference on Traffic and Transportation Studies Congress 2008: Traffic and Transportation Studies Congress 2008, ICTTS 2008
Country/TerritoryChina
CityNanning
Period5/08/087/08/08

Keywords

  • Bilinear system
  • Finite mixture distribution
  • Multiplicative noise
  • Probablistic switching condition
  • Stochastic system
  • The cell transmission model (CTM)

ASJC Scopus subject areas

  • Transportation
  • Public Administration

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