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 language | English |
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Title of host publication | Proceedings of the 6th International Conference on Traffic and Transportation Studies Congress 2008 |
Subtitle of host publication | Traffic and Transportation Studies Congress 2008, ICTTS 2008 |
Pages | 462-478 |
Number of pages | 17 |
Volume | 322 |
Publication status | Published - 1 Dec 2008 |
Event | 6th International Conference on Traffic and Transportation Studies Congress 2008: Traffic and Transportation Studies Congress 2008, ICTTS 2008 - Nanning, China Duration: 5 Aug 2008 → 7 Aug 2008 |
Conference
Conference | 6th International Conference on Traffic and Transportation Studies Congress 2008: Traffic and Transportation Studies Congress 2008, ICTTS 2008 |
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Country/Territory | China |
City | Nanning |
Period | 5/08/08 → 7/08/08 |
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