@inproceedings{dlr71871,
	author = {Yun-Pang Fl{\"o}tter{\"o}d and Laura Bieker},
	booktitle = {ICEM 2012},
	title = {Demand-oriented traffic management for incidents and disasters},
	year = {2012},
	abstract = {Traffic simulation has been extensively used as a decision support
	tool for efficient traffic management in daily life. During disasters
	and incidents, traffic simulation can further help rescue teams to
	understand the current traffic state and the possible impacts of
	proposed strategies and then to make proper decisions. At this point,
	the changes in traffic demand should also be considered in the simulation
	to reflect the latest traffic state. In this paper, a demand-oriented
	traffic management system for disasters and incidents with a web-based
	portal is introduced. In this system, not only the real-time data
	from loop and wireless detectors but also traffic simulation are
	used for reconstructing and predicting the traffic state. Furthermore,
	four traffic demand categories for disasters and incidents are proposed
	in the system. Some respective demand characteristics are collected
	according to historical cases, such as departure pattern and people?s
	perception about evacuation. Such characteristics will be used in
	the system, since they have a great influence on the simulated traffic
	state and the effectiveness of applied strategies. Finally, the approach
	how to generate the respective special demands for disasters and
	incidents with consideration of the normal traffic demand is proposed
	as well.},
	groups = {pollution},
	keywords = {traffic management; disaster; SUMO;VABENE; traffic simulation},
	owner = {dkrajzew},
	timestamp = {2014.01.08},
	url = {http://elib.dlr.de/71871/}
}

{"_id":"fQYFj2eRSm42dghg9","bibbaseid":"fltterd-bieker-demandorientedtrafficmanagementforincidentsanddisasters-2012","author_short":["Flötteröd, Y.","Bieker, L."],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","author":[{"firstnames":["Yun-Pang"],"propositions":[],"lastnames":["Flötteröd"],"suffixes":[]},{"firstnames":["Laura"],"propositions":[],"lastnames":["Bieker"],"suffixes":[]}],"booktitle":"ICEM 2012","title":"Demand-oriented traffic management for incidents and disasters","year":"2012","abstract":"Traffic simulation has been extensively used as a decision support tool for efficient traffic management in daily life. During disasters and incidents, traffic simulation can further help rescue teams to understand the current traffic state and the possible impacts of proposed strategies and then to make proper decisions. At this point, the changes in traffic demand should also be considered in the simulation to reflect the latest traffic state. In this paper, a demand-oriented traffic management system for disasters and incidents with a web-based portal is introduced. In this system, not only the real-time data from loop and wireless detectors but also traffic simulation are used for reconstructing and predicting the traffic state. Furthermore, four traffic demand categories for disasters and incidents are proposed in the system. Some respective demand characteristics are collected according to historical cases, such as departure pattern and people?s perception about evacuation. Such characteristics will be used in the system, since they have a great influence on the simulated traffic state and the effectiveness of applied strategies. Finally, the approach how to generate the respective special demands for disasters and incidents with consideration of the normal traffic demand is proposed as well.","groups":"pollution","keywords":"traffic management; disaster; SUMO;VABENE; traffic simulation","owner":"dkrajzew","timestamp":"2014.01.08","url":"http://elib.dlr.de/71871/","bibtex":"@inproceedings{dlr71871,\n\tauthor = {Yun-Pang Fl{\\\"o}tter{\\\"o}d and Laura Bieker},\n\tbooktitle = {ICEM 2012},\n\ttitle = {Demand-oriented traffic management for incidents and disasters},\n\tyear = {2012},\n\tabstract = {Traffic simulation has been extensively used as a decision support\n\ttool for efficient traffic management in daily life. During disasters\n\tand incidents, traffic simulation can further help rescue teams to\n\tunderstand the current traffic state and the possible impacts of\n\tproposed strategies and then to make proper decisions. At this point,\n\tthe changes in traffic demand should also be considered in the simulation\n\tto reflect the latest traffic state. In this paper, a demand-oriented\n\ttraffic management system for disasters and incidents with a web-based\n\tportal is introduced. In this system, not only the real-time data\n\tfrom loop and wireless detectors but also traffic simulation are\n\tused for reconstructing and predicting the traffic state. Furthermore,\n\tfour traffic demand categories for disasters and incidents are proposed\n\tin the system. Some respective demand characteristics are collected\n\taccording to historical cases, such as departure pattern and people?s\n\tperception about evacuation. Such characteristics will be used in\n\tthe system, since they have a great influence on the simulated traffic\n\tstate and the effectiveness of applied strategies. Finally, the approach\n\thow to generate the respective special demands for disasters and\n\tincidents with consideration of the normal traffic demand is proposed\n\tas well.},\n\tgroups = {pollution},\n\tkeywords = {traffic management; disaster; SUMO;VABENE; traffic simulation},\n\towner = {dkrajzew},\n\ttimestamp = {2014.01.08},\n\turl = {http://elib.dlr.de/71871/}\n}\n\n\n","author_short":["Flötteröd, Y.","Bieker, L."],"key":"dlr71871","id":"dlr71871","bibbaseid":"fltterd-bieker-demandorientedtrafficmanagementforincidentsanddisasters-2012","role":"author","urls":{"Paper":"http://elib.dlr.de/71871/"},"keyword":["traffic management; disaster; SUMO;VABENE; traffic simulation"],"metadata":{"authorlinks":{}},"downloads":6},"bibtype":"inproceedings","biburl":"https://raw.githubusercontent.com/eclipse/sumo/main/docs/sumo.bib","dataSources":["n7xZzbjha4s6NhjNG"],"keywords":["traffic management; disaster; sumo;vabene; traffic simulation"],"search_terms":["demand","oriented","traffic","management","incidents","disasters","flötteröd","bieker"],"title":"Demand-oriented traffic management for incidents and disasters","year":2012,"downloads":6}