ORCID Profile
0000-0003-3754-5779
Current Organisations
Delft University of Technology
,
Technische Universiteit Delft
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Publisher: Informa UK Limited
Date: 06-04-2017
Publisher: IEEE
Date: 04-2018
Publisher: Elsevier BV
Date: 2010
Publisher: SAGE Publications
Date: 2009
DOI: 10.3141/2091-11
Abstract: Dynamic traffic assignment (DTA) models typically describe travelers selecting their routes before departure (pretrip) or during the trip (en route). However, in reality, people follow a certain route but have the opportunity to deviate from that route. An analytical hybrid route choice model is proposed that unifies pretrip and en route route choice in a tractable way. It enables modeling intermediate states where travelers make pretrip route choice decisions and may deviate from this route if they receive information about a more attractive route, for instance, because of unforeseen adverse traffic conditions. The hybrid route choice model is widely applicable to various planning and management applications in DTA and makes the DTA model more realistic in cases such as route guidance problems, where the combination of prescribed routes and en route route choice is evident. Furthermore, the proposed route choice model is generic because different dynamic traffic flow models can be used in the model, analytical or simulation-based. Also, two common problems in DTA related to gridlock and time-varying network conditions are solved in the hybrid route choice model.
Publisher: Elsevier BV
Date: 06-2019
Publisher: Elsevier BV
Date: 2009
Publisher: SAGE Publications
Date: 2010
DOI: 10.3141/2196-05
Abstract: Traffic simulation models are frequently used to support decisions when an evacuation is planned. These models typically focus on traffic dynamics and the effect of traffic control measures to locate possible bottlenecks and predict evacuation times. However, a clear view of the crucial factors that determine evacuation time and emergent traffic states is lacking. In this paper, a structured and comprehensive sensitivity analysis identifies and quantifies the impact of variations in travel demand and network supply in the case of evacuation. The sensitivity analysis involves applying the macroscopic evacuation traffic simulation model EVAQ, in which aspects such as trip generation, departure rates, route flow rates, road capacities, and maximum speeds are systematically varied. That is accomplished using a case study that describes evacuation of the Rotterdam, Netherlands, metropolitan area. Departure rates and route flow rates are found to have a substantial nonlinear impact on network conditions and arrival pattern, particularly when the network load is relatively high, whereas trip generation and road capacities have a smaller quasilinear impact. Maximum speeds, independent of the effect on road capacities, have no significant impact on evacuation. The results, discussion, and conclusions presented can be used to identify the most important factors in (a) verifying, calibrating, and validating an evacuation model (b) designing a network for evacuation studies and (c) evaluating and testing the robustness of evacuation plans.
Publisher: IEEE
Date: 09-2010
Publisher: IEEE
Date: 09-2012
Publisher: Springer Science and Business Media LLC
Date: 28-01-2012
Publisher: IEEE
Date: 10-2008
No related grants have been discovered for Adam John Pel.