Optimizing Traffic Signal Control for Emergency Evacuation
نویسنده
چکیده
Agent‐Based Modeling (ABM) is an effective strategy for simulating the emergent properties of complex systems. This form of simulation models the behaviors of individual agents interacting with each other and with their world. ABM is well suited for problems such as modeling behaviors during emergencies, or critical incidents. These situations can range from getting people out of a burning building to routing traffic away from a chemical spill. Many frameworks exist for creating ABMs—one such program, used here, is called NetLogo [1].
منابع مشابه
An Integrated Optimal Control System for Emergency Evacuation
Title of Dissertation: AN INTEGRATED OPTIMAL CONTROL SYSTEM FOR EMERGENCY EVACUATION Ying Liu, Doctor of Philosophy, 2007 Directed By: Professor Gang-Len Chang Department of Civil and Environmental Engineering How to effectively control evacuation traffic has emerged as one of the critical research issues in transportation community, due to the unusually high demand surge and the often limited ...
متن کاملModel Reference Adaptive Control Framework for Real Time Traffic Management under Emergency Evacuation
Recent natural or man-made disasters around the world have provided compelling evidence that transportation system plays a crucial role in the emergency evacuation and have stressed the need for effective evacuation traffic management to maximize the utilization of the transportation system and to minimize fatalities and losses. This paper presents a model reference adaptive control (MRAC) fram...
متن کاملComprehensive Optimization of Emergency Evacuation Route and Departure Time under Traffic Control
With the frequent occurrence of major emergencies, emergency management gets high attention from all around the world. This paper investigates the comprehensive optimization of major emergency evacuation route and departure time, in which case the evacuation propagation mechanism is considered under traffic control. Given the practical assumptions, we first establish a comprehensive optimizatio...
متن کاملOptimal Signal Control in Urban Road Networks with High Priority Congested Centers
Keeping the density of traffic flow and air pollution in an acceptable level and developing a good capacity for transit in the high priority areas of the city, is really a big deal in large and crowded cities. To address this problem, a new method of intersection signal optimization is presented in this paper. Based on network fundamental diagrams, an Internal–External Traffic Metering Strategy...
متن کاملUse of Data Mining in Emergency Evacuation Planning
Evacuating large numbers of people during a natural disaster or terrorist attack is a vital challenge for emergency management professionals. This is even a continuous pressure on the management in the hurricane zones. Hurricanes Katrina and Rita vividly illustrated this problem. Miles-long traffic jams on the highways during any evacuation in Louisiana and Texas expose the limitations of the r...
متن کامل