@article{Park:206944,
      recid = {206944},
      author = {Park, Hyoshin and Haghani, Ali and Hamedi, Masoud},
      title = {Quantifying non-recurring congestion impact on secondary  incidents using probe vehicle data},
      address = {2013-03},
      number = {1432-2016-118789},
      pages = {13},
      year = {2013},
      abstract = {As 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.},
      url = {http://ageconsearch.umn.edu/record/206944},
      doi = {https://doi.org/10.22004/ag.econ.206944},
}