A dynamic programming optimization for traffic microsimulation modelling of a mass evacuation

Mapping the knowledge domain of soft computing applications for emergency evacuation studies: A scientometric analysis and critical review

“…The literature was retrieved from the core collection database in the Web of Science (WOS) comprehensive bibliographic database, including the Science Citation Index Expanded, the Social Sciences Citation Index, and Conference Proceedings Citation Index. Initial searches for the topic "application of SC for emergency evacuation" were performed from October 2020 to November 2020 to determine a minimum of 19 benchmark studies (Afshar and Haghani, 2008;Alam and Habib, 2021;Dulebenets et al, 2020;Gerakakis et al, 2019;Ghasemi et al, 2019;Ibrahim et al, 2016;Krasko and Rebennack, 2017;Li et al, 2019a;Li et al, 2019b;Liu et al, 2020;Luh et al, 2012;Mei and Xie, 2019;Peng et al, 2019;Rabbani et al, 2018;S ¸ahin et al, 2019;Sharbini et al, 2021;Shen et al, 2019;Wen et al, 2019;Zhang et al, 2021a) for further research in the WOS. A limited set of keywords was extracted from these benchmark studies.…”

“…Compared to building evacuation, large-scale evacuation (e.g., earthquake, hurricane, or other natural disasters causing mass evacuation) involves millions of people, requires walking/ driving a long distance, generally takes place outdoors, and lasts an extended period of time (Darvishan and Lim, 2021;Murray-Tuite et al, 2018). On the other hand, mixed traffic evacuations involve people evacuating by car or by using other public/mass transportation means, requiring significant improvisation due to disaster intensity and traffic capacity, disrupted communication and transportation systems (Alam and Habib, 2021;Du et al, 2022;Wu et al, 2022;Zhang and Chang, 2014).…”

“…Generally, the first objective of emergency evacuation optimization is to minimize evacuation time or maximize evacuation efficiency. Other objectives may also consider factors, such as evacuation dynamics, geometric conditions, varying weather, and traffic risks along evacuation paths (Alam and Habib, 2021;Dulebenets et al, 2019;Sharbini et al, 2021). Another type of optimization for emergency evacuation, using a probabilistic graphical model, aims to predict the probability of an event happening by considering previous information.…”

Managed Lane as Strategy for Traffic Flow and Safety: A Case Study of Catania Ring Road

“…GEH is a modified chi-squared statistic that incorporates both relative and absolute differences to compare modeled and observed traffic volumes. GEH index must be less than 5 for more than 85% of the measurement locations [22,23].…”

Minimization of Labor Costs in Textile Manufacturing with Dynamic Programming

“…For the assignment and scheduling of caregivers, (Restrepo et al, 2019) developed a two-stage scholastic model which focuses on the distribution of caregivers in certain geographical areas in the first stage, and the temporary reallocation of caregivers to nearby districts and contacting caregivers to work on their days off in the second stage. (Alam and Habib, 2021) developed a framework which optimizes the effective use of the available modes of transport including public transport and school buses with the knapsack problem approach.…”