Proactive Control for Oversaturation Mitigation on Evacuation Network: a Multi-Agent Simulation Approach

Huang, Zhengfeng; Zheng, Pengjun; Ma, Yanqiang; Jiang, Guiyan; Ren, Gang

doi:10.1080/18756891.2016.1256571

Cited by 4 publications

(5 citation statements)

References 33 publications

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“…Ren et al [29] simulated the private car and public transport contraflow lanes on a freeway evacuation by using the ORridor SIMulatio software. Huang et al [40] One-step [17], [18], [20], [21][23], [25], [27]; Two-step [19], [24], [26].…”

Section: Ii-b Optimal Designmentioning

confidence: 99%

“…Improved shortest path [36]; Tabu Search [37]; Computer simulation [38]- [40], [42]- [44]; Method of successive average [41].…”

Section: Ii-b Optimal Designmentioning

confidence: 99%

“…Path selection [36], [38]- [44]; Hospital evacuation [36]; Parking lot [37]; Lane configuration [39]; Road intersections [40]; Evacuee behavior [41];…”

Section: Ii-b Optimal Designmentioning

confidence: 99%

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Optimal Design of Multimodal Traffic Strategies in Emergency Evacuation Considering Background Traffic

et al. 2022

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In this work, we present the optimal design method of multimodal traffic strategies in emergency evacuations by considering the background traffic. First, the lane use configuration of publicoriented transport in multimodal evacuation that considers the background traffic is presented. Then, the feasible strategies are proposed based on the application conditions of five evacuation traffic strategies in feasible strategy proposal. Furthermore, the feasible strategies are transformed into optimal strategies by using the optimal strategy design model to minimize the weighted sum of public transport, private cars, and background traffic target values. Finally, the previous case study of Wenling is used to discuss the strategy evolution process, compare other strategies, and analyze the sensitivity of weights. The results presented in this work provide a reference for other researchers on the design and formulation of multimodal evacuation traffic strategies.INDEX TERMS Multimodal traffic, evacuation strategies, background traffic, optimal design.

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Section: Ii-b Optimal Designmentioning

confidence: 99%

“…Improved shortest path [36]; Tabu Search [37]; Computer simulation [38]- [40], [42]- [44]; Method of successive average [41].…”

Section: Ii-b Optimal Designmentioning

confidence: 99%

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Optimal Design of Multimodal Traffic Strategies in Emergency Evacuation Considering Background Traffic

et al. 2022

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“…IoT technology, as an extension of the network technology, can be associate with RFID (radio frequency identification), infrared sensors, global positioning systems, laser scanners and other sensing devices to provide real-time information (Cai et al, 2014;Chen, 2017;Cheng et al, 2018;Jiang et al, 2014;Li et al, 2013;Lai et al, 2017;Liu et al, 2017;Lu and Xu, 2018;Xu, He and Li, 2014;Xu, Xu, Cai, Xie, Hu and Bu, 2014;Xu et al, 2018). In order to achieve smart identification, positioning, tracking, monitoring and management, different devices and internet are connected to conduct information exchange and communication based upon the agreement, such as RFID technology, sensing and control technology, short-range wireless communications technology and general packet radio service GPRS technologies (Feng and Xu, 1996;Fang et al, 2014;Li et al, 2015Li et al, , 2018Qi et al, 2017;Zhai et al, 2016, Huang et al, 2016. They are employed to the areas where congestion, stampede and blockage occur, such as transfer channels, gates, stairs, etc.…”

Section: Real-time Intelligent Programming For Crowd Emergency Evacuationmentioning

confidence: 99%

IoT-based real time intelligent routing for emergent crowd evacuation

Mei

Gui

Xian-feng

et al. 2019

LHT

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Purpose The purpose of this paper is to take advantage of Internet of Things (IoT) for intelligent route programming of crowd emergency evacuation in metro station. It is a novel approach to ensure the crowd safety and reduce the casualties in the emergency context. An evacuation route programming model is constructed to select a suitable evacuation route and support the emergency decision maker of metro station. Design/methodology/approach The IoT technology is employed to collect and screen information, and to construct an expert decision model to support the metro station manager to make decision. As a feasible way to solve the multiple criteria decision-making problem, an improved multi-attributive border approximation area comparison (MABAC) approach is introduced. Findings The case study indicates that the model provides valuable suggestions for evacuation route programming and offers practical support for the design of an evacuation route guidance system. Moreover, IoT plays an important role in the process of intelligent route programming of crowd emergency evacuation in metro station. A library has similar structure and crowd characteristics of a metro station, thus the intelligent route programming approach can be applied to the library crowd evacuation. Originality/value The highlights of this paper are listed as followings: the accuracy and accessibility of the metro station’s real-time information are improved by integrating IoT technology with the intelligent route programming of crowd emergency evacuation. An improved MABAC approach is introduced to the expert support model. It promotes the applicability and reliability of decision making for emergency evacuation route selection in metro station. It is a novel way to combine the decision-making methods with practice.

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“…When an EE occurs, it must be dealt with some measures to mitigate the losses of properties and lives, the process of selecting the measures is defined emergency decision making (EDM). EDM has received increasing attention and became a very active and important research field in recent years [12,15,20,[35][36][37] because it plays a crucial role in mitigating the losses of properties and lives caused by EE.…”

Section: Introductionmentioning

confidence: 99%

A hesitant group emergency decision making method based on prospect theory

Zhang

Wang

Rodríguez

et al. 2017

Complex Intell. Syst.

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Group emergency decision-making (GEDM) problems have drawn great attention in past few years due to its advantages of dealing with the emergency events (EEs) effectively. Due to the fact that EEs are usually featured by lack of information and time pressure, decision makers (DMs) are often bound rational and their psychological behaviors are very crucial to the GEDM process. However, DM's psychological behaviors are neglected in current GEDM approaches. The assessments representing the individual wisdom provided by each expert are usually aggregated in the GEDM process. Nevertheless, the aggregation process always implies summarization of data that can result in loss of information. To overcome these limitations pointed out previously, this paper proposes a new GEDM method that considers the DM's psychological behaviors in the decision process using prospect theory and replaces the aggregation process by a fusion method with hesitant fuzzy set, which keeps the experts' information as much as pos-

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Proactive Control for Oversaturation Mitigation on Evacuation Network: a Multi-Agent Simulation Approach

Cited by 4 publications

References 33 publications

Optimal Design of Multimodal Traffic Strategies in Emergency Evacuation Considering Background Traffic

Optimal Design of Multimodal Traffic Strategies in Emergency Evacuation Considering Background Traffic

IoT-based real time intelligent routing for emergent crowd evacuation

A hesitant group emergency decision making method based on prospect theory

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