Quasi-dynamic model in Aimsun compared to static and dynamic models
Traditionally traffic demand models require as input the impedance of a demand with respect to the network supply; mode choice or departure choice for example, take into account the travel time for each option. Bearing this in mind, the main criticism of using static models to evaluate travel times is that the estimated travel time could diverge considerably because these models have no capacity constraints. On the other hand, dynamic models, such as mesoscopic models, have a level of detail that is sometimes unnecessarily high for the final requirements. The Quasi-dynamic model developed in Aimsun could contribute to a more realistic estimate of the travel time while avoiding the need for a full dynamic model. This paper presents the integration of a Quasi-dynamic model inside the integrated framework of Aimsun and evaluates a comparison of all models in terms of travel time estimation. The evaluation is performed using real networks validated with real data sets.
- Record URL:
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Authors:
- Casas, J
- Ruiz de Villa, A
- Breen, M
- Perarnau, J
- Delgado, M
- Torday, A
- Conference:
- Publication Date: 2015-9
Language
- English
Media Info
- Pagination: 15p
- Monograph Title: Informing transport's future through practical research: 37th Australasian Transport Research Forum, 30 September to 2 October 2015, Sydney, New South Wales
Subject/Index Terms
- TRT Terms: Highway capacity; Highway traffic control; Mathematical models; Time; Traffic flow; Travel demand; Travel time; Types of roads by network
- Uncontrolled Terms: Road networks
- Geographic Terms: Sydney (Australia); Tarragona, Spain
- ATRI Terms: Modelling; Road network; Traffic capacity; Traffic flow; Traffic management; Travel demand; Travel time
- ITRD Terms: 645: Capacity (traffic network); 285: Demand (econ)
- Subject Areas: Highways; Operations and Traffic Management; I71: Traffic Theory;
Filing Info
- Accession Number: 01587023
- Record Type: Publication
- Source Agency: ARRB
- Files: ITRD, ATRI
- Created Date: Jan 14 2016 12:12PM