Title :
Real-time information driven decision support system for evacuation planning
Author :
Gottumukkala, Raju ; Zachary, John ; Kearfott, Baker ; Kolluru, Ramesh
Abstract :
Mass traffic evacuations during Hurricanes Rita and Katrina demonstrated limitations of static planning-based evacuation models based on data from historical events. Evacuation dynamics are complex due to the number of people and vehicles, road networks, the uncertainty and perception of the event, public safety advisories, and human decisions regarding evacuation routes and behaviors. We describe a system under development for real-time information driven decision support system for evacuation planning and response. This system consists of an evacuation traffic prediction model injected with situational information extracted from traffic sensors and social networking sites. The situational awareness information obtained from multiple sources is fused with historic stated-preferences behavior data. Our model is novel because it augments standard evacuation models with evacuee sentiment via social media networks.
Keywords :
behavioural sciences computing; decision support systems; planning; public administration; real-time systems; social networking (online); traffic engineering computing; Hurricane Katrina; Hurricane Rita; evacuation dynamics; evacuation planning; evacuation response; evacuation traffic prediction model; evacuee sentiment; historic stated-preferences behavior data; mass traffic evacuations; real-time information driven decision support system; situational awareness information; social media networks; social networking sites; standard evacuation models; static planning-based evacuation models; traffic sensors; Computational modeling; Fuels; Hurricanes; Media; Planning; Real time systems; Twitter;
Conference_Titel :
Cognitive Methods in Situation Awareness and Decision Support (CogSIMA), 2012 IEEE International Multi-Disciplinary Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
978-1-4673-0343-9
DOI :
10.1109/CogSIMA.2012.6188383