Name
Abstract | ||
|---|---|---|
In case of an emergency, traffic management is often applied to ensure safe and efficient evacuation. In this paper, we study how traffic management - together with an evacuation plan on instructed departure time windows and dedicated routes - can be optimally deployed to increase travelers' compliance (towards this plan), thereby improving the evacuation efficiency. To this end, a framework is proposed integrating a macroscopic traffic simulator, including an description of travelers' compliance behavior, and a optimization method based on Particle Swarm Optimization (PSO) for strategic decisions on the deployment of traffic management under uncertain budget constraints. The model-predictive optimization framework is presented, after which it is illustrated on a case study. The numerical results from this case study show the relationship between (optimal) evacuation plans and optimal compliance levels by traffic management. Hence these findings allow for more detailed analysis leading to generic rules for optimal deployment of traffic management in case of emergency evacuation. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ICNSC.2013.6548795 | ICNSC |
Keywords | Field | DocType |
instructed departure time window,macroscopic traffic simulator,budgeting,emergency evacuation,compliance behavior,decision making,optimal traffic management deployment,pso,evacuation plan,particle swarm optimisation,emergency management,emergency evacuation compliance,budget constraint,constraint theory,uncertain budget constraint,traveler compliance,traffic management,road traffic,evacuation efficiency,model predictive optimization,strategic decision,stochastic programming,particle swarm optimization,linear programming,planning,computational modeling,sociology | Particle swarm optimization,Software deployment,Budget constraint,Emergency evacuation,Computer science,Constraint theory,Traffic simulator,Transport engineering,Emergency management,Road traffic | Conference |
Volume | Issue | ISSN |
null | null | 1810-7869 |
ISBN | Citations | PageRank |
978-1-4673-5199-7 | 2 | 0.52 |
References | Authors | |
6 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hui Fu | 1 | 31 | 6.26 |
| Adam J. Pel | 2 | 11 | 3.71 |
| Serge P. Hoogendoorn | 3 | 186 | 38.38 |