An optimization approach for real time evacuation reroute planning

Lim, Gino J.; Baharnemati, M. Reza; Kim, Seon Jin

doi:10.1007/s10479-015-2072-5

Cited by 11 publications

(3 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In case of incidents arising during an evacuation, Lim et al (2016) introduced a new approach to evacuation reroute planning. A two-stage heuristic algorithm was developed to find the maximal evacuation efficiency route, which costed much less amount of the computational time than the CPLEX (Heydar et al, 2016).…”

Section: Iot-based Real Time Intelligent Routingmentioning

confidence: 99%

IoT-based real time intelligent routing for emergent crowd evacuation

Mei

Gui

Xian-feng

et al. 2019

LHT

View full text Add to dashboard Cite

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.

show abstract

Section: Iot-based Real Time Intelligent Routingmentioning

confidence: 99%

IoT-based real time intelligent routing for emergent crowd evacuation

Mei

Gui

Xian-feng

et al. 2019

LHT

View full text Add to dashboard Cite

show abstract

“…There are several existing studies on evacuation planning [11,16]. Lim et al formulate planning of evacuation routes in case of hurricane disasters as a network flow problem and propose an algorithm that can derive optimal solutions maximizing the number of evacuees who succeed in evacuation [11]. Takizawa et al propose a method to partition appropriately a region into small areas such that a unique evacuation center is located in each area [16].…”

Section: Related Workmentioning

confidence: 99%

Automatic evacuation guiding scheme based on implicit interactions between evacuees and their mobile nodes

et al. 2016

View full text Add to dashboard Cite

When large-scale disasters occur, evacuees have to evacuate to safe places quickly. They, however, may not be able to afford to obtain sufficient information for their evacuations under such emergent situations. In this paper, we propose an automatic evacuation guiding scheme using evacuees' mobile nodes, e.g., smart phones. The key idea to achieve automatic evacuation guiding is implicit interactions between evacuees and their mobile nodes. Each mobile node tries to navigate its evacuee by presenting an evacuation route. At the same time, it can also trace the actual evacuation route of the evacuee as the trajectory by measuring his/her positions periodically. The proposed scheme automatically estimates blocked road segments from the difference between the presented evacuation route and the actual evacuation route, and then recalculates the alternative evacuation route. In addition, evacuees also share such information among them through direct wireless communication with other mobile nodes and that with a server via remaining communication infrastructures. Through simulation experiments, we show that 1) the proposed scheme works well when the degree of damage is high and/or road segments are continuously blocked, 2) the average evacuation time can be improved even in small penetration ratio of the proposed system, and 3) the direct wireless communication can support many evacuations at almost the same level as the communication infrastructure when the number of evacuees becomes large.

show abstract

“…Rerouting redirects evacuation movement to different road sections in the related road network. The rerouting process ensures an equilibrium traffic load distribution and avoids traffic jams on particular road sections [14], [15]. Additionally, a traffic management strategy combined with dynamic evacuation enables an adaptive strategy that follows the demand fluctuation [16].…”

Section: Introductionmentioning

confidence: 99%