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The CONTRAM Dynamic Traffic Assignment Model
Networks and Spatial Economics, 2003CONTRAM is a computer model of time-varying traffic in road networks, which takes as input the network definition and time-varying demand for travel between a set of origin and destination zones, and outputs the resulting network flows, routes and travel times.
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A dynamic traffic equilibrium assignment paradox
Transportation Research Part B: Methodological, 2000Abstract This paper explores the properties of dynamic flow patterns on two symmetrical networks: an “evening-rush-hour” network (E-net) with a one-to-many origin–destination (OD) pattern and a “morning-rush-hour” network (M-net) with a many-to-one OD pattern that can be obtained by reversing the direction of links and the origin and destinations of ...
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A dynamic traffic assignment model with traffic-flow relationships
Transportation Research Part C: Emerging Technologies, 1995Abstract Conventional traffic assignment methods assume that the origin-destination (OD) demand is uniformly distributed over time to estimate the traffic pattern. This assumption does not hold for modeling peak periods of congestion in which the OD demand is time varying. In this paper, we present a dynamic traffic assignment model with traffic-flow
R. Jayakrishnan +2 more
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Dynamic Traffic Assignment in Congested Networks
1996The evaluation of potential benefits of new information systems to road users and of demand management measures, like limited traffic zones and road pricing, in congested areas, requires representing time of the day dynamic of traffic flows on the road network and users’ behaviour. This can be accomplished by taking into account several aspects such as
Giuseppe Bellei, Maurizio Bielli
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Dynamic Traffic Assignment with Rolling Horizon Implementation
Journal of Transportation Engineering, 2002This paper discusses an analytical dynamic traffic assignment (DTA) model with the extended capability of performing rolling horizon implementation. This model is formulated as a link-based variational inequality and can be solved efficiently to convergence by a relaxation (diagonalization) algorithm.
Ran, B., Lee, D.-H., Shin, M.S.-I.
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Quasi-dynamic traffic assignment: static traffic assignment with queueing and spillback
2012Historical traffic patterns can be used for the prediction of traffic flows, as input for macroscopic traffic models, for the imputation of missing or erroneous data and as a basis for traffic management scenarios. This paper investigates the determination of historical traffic patterns by means of Ward’s hierarchical clustering procedure.
Bliemer, M.C.J. +3 more
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GIS and ITS Traffic Assignment: Issues in Dynamic User-Optimal Assignments
GeoInformatica, 2000Summary: Dynamic Traffic Assignment (DTA) is at the heart of much ITS research. Assigning traffic, whether for planning purposes or for real time route guidance, is a difficult problem. Recent advances in user-optimal dynamic traffic assignment have built on the methods developed for static user-optimal assignments. Since assignment models are complex,
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Parallel implementations of Dynamic Traffic Assignment models
SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483), 2004Dynamic traffic management methods constitute the intelligent core of Intelligent Transportation Systems (ITS). In order for these methods to be effective and deployable in real-time, there is a need to develop models that predict future traffic conditions in a computational time much less than real time.
I. Chabini +3 more
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Modeling Road Traffic Congestion by Quasi-Dynamic Traffic Assignment [PDF]
, 2012 The paper deals with simulation of congested road networks through dynamic traffic assignment models and presents a new quasi-dynamic traffic assignment model that improves realism and effectiveness of both usual static traffic assignment models and other quasi-dynamic models recently introduced in the literature, as it simulates flow progression onto ...
FUSCO, Gaetano +2 more
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