000206944 001__ 206944
000206944 005__ 20170828142827.0
000206944 037__ $$a1432-2016-118789
000206944 041__ $$aen_US
000206944 245__ $$aQuantifying non-recurring congestion impact on secondary incidents using probe vehicle data
000206944 260__ $$c2013-03
000206944 269__ $$a2013-03
000206944 300__ $$a13
000206944 336__ $$aConference Paper/ Presentation
000206944 520__ $$aAs a significant cost and externality to economic efficiency, congestion is partly caused by traffic incidents. For more systematic, planned and coordinated incident management, quantifying a primary incident’s impact on secondary incidents is crucial and challenging. Many thresholds have been suggested in defining the secondary incidents, but there is no universal acceptance of a definition and corresponding set of measurement parameters. Static threshold methods cannot consider the actual representation of prevailing traffic conditions when the incidents took place. On the other hand, dynamic methods have disadvantages because necessary traffic detector data may not be available, and replication of the incidents using a simulation package can be time consuming. The novelty of this study rests in the attempt of a probe vehicle technique for capturing the dynamics of traffic evolution during the primary-crash incidents. Compared to the previous thresholds which have many errors, proposed speed contour map from Traffic Message Channel codes provides accurate feasible area for identification of secondary incidents.
000206944 542__ $$fLicense granted by Lisa Vang (vang1490@umn.edu) on 2015-07-24T17:03:52Z (GMT):

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000206944 650__ $$aAgricultural and Food Policy
000206944 650__ $$aResearch Methods/ Statistical Methods
000206944 700__ $$aPark, Hyoshin
000206944 700__ $$aHaghani, Ali
000206944 700__ $$aHamedi, Masoud
000206944 773__ $$d2013
000206944 8564_ $$s1504235$$uhttp://ageconsearch.umn.edu/record/206944/files/1%20QUANTIFYING%20NON-RECURRING%20CONGESTION%20IMPACT%20ON%20SECONDARY%20INCIDENTS.pdf
000206944 887__ $$ahttp://purl.umn.edu/206944
000206944 909CO $$ooai:ageconsearch.umn.edu:206944$$qGLOBAL_SET
000206944 912__ $$nSubmitted by Lisa Vang (vang1490@umn.edu) on 2015-07-24T17:06:46Z
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  Previous issue date: 2013-03
000206944 982__ $$gTransportation Research Forum>54th Annual Transportation Research Forum, Annapolis, Maryland, April 21-23, 2013
000206944 980__ $$a1432