Simulation of Evacuation Route Choice

Zyryanov, Vladimir; Feofilova, Anastasia

doi:10.1016/j.trpro.2017.01.119

Cited by 14 publications

(11 citation statements)

References 5 publications

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“…Many traffic evacuation simulation tools have been proven to be capable of solving complex traffic evacuation problems, including MITSIMLab [7], VISSIM [8], MATSim [9], DynusT and DYNASMART [10], and AIMSUN [11]. In addition, some simulation methods utilize multimodel integration methods to simulate evacuees' behaviours during evacuation and combine various existing evacuation methods for more realistic traffic simulation.…”

Section: Descriptive Methodsmentioning

confidence: 99%

“…For a given network ( , ), let be the to-be-reversed edge set, be the initial time step ← GetEvaRoute(G, ); (3) if is not available then (4) ++; HRouteReuse(G, , ); (5) else (6) = −1; //Set initial value of (7) =RouteEvaluation(G, , , ); (8) if == −1 then = 1; //Exceptional case (9) else (10) if == 1 then (11) ← ContraflowReconfiguration(G, ); (12) NetworkUpdate(G, , ); (13) ← ∪ ; (14) . = 0;…”

Section: Proposed Algorithmmentioning

confidence: 99%

“…However, NETGEN does not generate the maximal vertex capacity for transition vertices. This paper uses a random number generation function, namely, rand(), to generate the maximal vertex capacity for transition vertices in (11). The seed of the rand() function is set to the vertex number to avoid generating the same networks.…”

Section: Experiments Datamentioning

confidence: 99%

“…The seed of the rand() function is set to the vertex number to avoid generating the same networks. and are two coefficients in (11), which imply that the lower bound on the edge capacity is and the upper bound on the edge capacity is ( ()%(( * )/ )) + . and can be reset according to the practical requirements.…”

Section: Experiments Datamentioning

confidence: 99%

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Capacity-Constrained Contraflow Adaption for Lane Reconfiguration in Evacuation Planning

Wang

et al. 2018

Journal of Advanced Transportation

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This paper presents a heuristic contraflow-based reconfiguration evacuation algorithm, which is named Capacity-Constrained Contraflow Adaption (CC-Adap). First, it effectively calculates optimal candidate routes for evacuation. Second, an evaluation method is proposed for estimating these candidate routes. Third, CC-Adap utilizes a contraflow-based method to reconfigure the evacuation routes to improve capacity constraints. Fourth, traffic conditions are updated in real time. Fifth, CC-Adap reuses historical evacuation routes to reduce the computational cost and accelerate the evacuation process. Experimental results show that CC-Adap generates high-performing evacuation strategies and can be used to tackle large-scale evacuation planning.

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Section: Descriptive Methodsmentioning

confidence: 99%

Section: Proposed Algorithmmentioning

confidence: 99%

Section: Experiments Datamentioning

confidence: 99%

Section: Experiments Datamentioning

confidence: 99%

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Capacity-Constrained Contraflow Adaption for Lane Reconfiguration in Evacuation Planning

Wang

et al. 2018

Journal of Advanced Transportation

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“…With the help of simulation, we defi ned the area of efficient application of the considered method of traffi c organization with the change of the initial v/c ratio on the road sections. [14,15]. We obtained the diagrams for determining the threshold density of the traffi c fl ow under conditions of varying level of services (LOS) in the direction of the traffi c fl ow along the route.…”

Section: The Main Points Of the Dynamic Traffic Re-routingmentioning

confidence: 99%

Dynamic traffic re-routing as a method of reducing the congestion level of road network elements

Novikov¹,

Zyryanov²,

Feofilova³

2018

Journal of Applied Engineering Science

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The article presents the main points of the dynamic traffi c rerouting on the base of the Intelligent Transport System (ITS). Rerouting problem on the road network has been object many research and different tools have been proposed to increase the traffi c management systems effectiveness. In this paper we study some of the issues associated with the simulation of various dynamic route guidance algorithms, focusing on the estimation of their effective using set of traffi c parameters. It was founding the main condition for using the method of dynamic traffi c rerouting is not only the fact or high probability of occurrence of a traffi c incident, but the detection of a process of deterioration of traffi c conditions, leading to the formation of congestion in the lack or ineffectiveness of active control. Our research aimed at determination the congestion threshold, alternative routes, average number of rerouting vehicles and duration of rerouting. Also in this paper is presented and explained the most important part of the dynamic traffi c rerouting problem-the conceptual diagram of the main stages of the dynamic traffi c rerouting .

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Simulation pipeline for traffic evacuation in urban areas and emergency traffic management policy improvements through case studies

Shafi

Chen

2020

Transportation Research Interdisciplinary Perspectives

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Simulation of Evacuation Route Choice

Cited by 14 publications

References 5 publications

Capacity-Constrained Contraflow Adaption for Lane Reconfiguration in Evacuation Planning

Capacity-Constrained Contraflow Adaption for Lane Reconfiguration in Evacuation Planning

Dynamic traffic re-routing as a method of reducing the congestion level of road network elements

Simulation pipeline for traffic evacuation in urban areas and emergency traffic management policy improvements through case studies

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