Evaluation of Transportation Network Reliability under Emergency Based on Reserve Capacity

There are differences between the requirements for traffic network for traffic demand in daily and emergency situations. In order to evaluate how the network designed for daily needs can meet the surging demand for emergency evacuation, the concept of emergency reliability and corresponding evaluati...

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Main Authors: Xiongfei Zhang, Qi Zhong, Qin Luo
Format: Article
Language:English
Published: Hindawi-Wiley 2019-01-01
Series:Journal of Advanced Transportation
Online Access:http://dx.doi.org/10.1155/2019/1370159
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spelling doaj-2217f905e8e640f683277fcf739523ca2020-11-25T02:22:49ZengHindawi-WileyJournal of Advanced Transportation0197-67292042-31952019-01-01201910.1155/2019/13701591370159Evaluation of Transportation Network Reliability under Emergency Based on Reserve CapacityXiongfei Zhang0Qi Zhong1Qin Luo2College of Urban Traffic and Logistics, Shenzhen Technology University, Shenzhen 518118, ChinaCollege of Urban Rail Transit, Shenzhen University, Shenzhen 518060, ChinaCollege of Urban Traffic and Logistics, Shenzhen Technology University, Shenzhen 518118, ChinaThere are differences between the requirements for traffic network for traffic demand in daily and emergency situations. In order to evaluate how the network designed for daily needs can meet the surging demand for emergency evacuation, the concept of emergency reliability and corresponding evaluation method is proposed. This paper constructs a bilevel programming model to describe the proposed problem. The upper level problem takes the maximum reserve capacity multiplier as the optimization objective and considers the influence of reversible lane measures taken under emergency conditions. The lower level model adopts the combined traffic distribution/assignment model with capacity limits, to describe evacuees’ path and shelter choice behavior under emergency conditions and take into account the traits of crowded traffic. An iterative optimization method is proposed to solve the upper level model, and the lower level model is transformed into a UE assignment problem with capacity limits over a network of multiple origins and single destination, by adding a dummy node and several dummy links in the network. Then a dynamic penalty function algorithm is used to solve the problem. In the end, numerical studies and results are provided to demonstrate the rationality of the proposed model and feasibility of the proposed solution algorithms.http://dx.doi.org/10.1155/2019/1370159
collection DOAJ
language English
format Article
sources DOAJ
author Xiongfei Zhang
Qi Zhong
Qin Luo
spellingShingle Xiongfei Zhang
Qi Zhong
Qin Luo
Evaluation of Transportation Network Reliability under Emergency Based on Reserve Capacity
Journal of Advanced Transportation
author_facet Xiongfei Zhang
Qi Zhong
Qin Luo
author_sort Xiongfei Zhang
title Evaluation of Transportation Network Reliability under Emergency Based on Reserve Capacity
title_short Evaluation of Transportation Network Reliability under Emergency Based on Reserve Capacity
title_full Evaluation of Transportation Network Reliability under Emergency Based on Reserve Capacity
title_fullStr Evaluation of Transportation Network Reliability under Emergency Based on Reserve Capacity
title_full_unstemmed Evaluation of Transportation Network Reliability under Emergency Based on Reserve Capacity
title_sort evaluation of transportation network reliability under emergency based on reserve capacity
publisher Hindawi-Wiley
series Journal of Advanced Transportation
issn 0197-6729
2042-3195
publishDate 2019-01-01
description There are differences between the requirements for traffic network for traffic demand in daily and emergency situations. In order to evaluate how the network designed for daily needs can meet the surging demand for emergency evacuation, the concept of emergency reliability and corresponding evaluation method is proposed. This paper constructs a bilevel programming model to describe the proposed problem. The upper level problem takes the maximum reserve capacity multiplier as the optimization objective and considers the influence of reversible lane measures taken under emergency conditions. The lower level model adopts the combined traffic distribution/assignment model with capacity limits, to describe evacuees’ path and shelter choice behavior under emergency conditions and take into account the traits of crowded traffic. An iterative optimization method is proposed to solve the upper level model, and the lower level model is transformed into a UE assignment problem with capacity limits over a network of multiple origins and single destination, by adding a dummy node and several dummy links in the network. Then a dynamic penalty function algorithm is used to solve the problem. In the end, numerical studies and results are provided to demonstrate the rationality of the proposed model and feasibility of the proposed solution algorithms.
url http://dx.doi.org/10.1155/2019/1370159
work_keys_str_mv AT xiongfeizhang evaluationoftransportationnetworkreliabilityunderemergencybasedonreservecapacity
AT qizhong evaluationoftransportationnetworkreliabilityunderemergencybasedonreservecapacity
AT qinluo evaluationoftransportationnetworkreliabilityunderemergencybasedonreservecapacity
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