Quantifying distributions of freeway operational metrics

REFERENCES

• Aron, M., M. Ellenberg, P. Fabre, and P. Veyre. (1994). "Weather related traffic management." In Towards an Intelligent Transport System: Proceedings of the First World Congress on Applications of Transport Telematics and Intelligent Vehicle-Highway Systems, Vol. 3. Ertico, Brussels, Belgium, 1089–1096.
   Google Scholar
• Asakura, Y. and M. Kashiwadanib. (1991). "Road network reliability caused by daily fluctuations of traffic flow." Proc., the 19th PTRC Summer Annual Meeting, Brighton, 1991, pp. 73–84.
   Google Scholar
• Bell, M. G. H., C. Cassir, Y. Iida, and W. H. K. Lam. (1999). "A sensitivity-based approach to network reliability assessment." Proc., the 14th International Symposium on Transportation and Traffic Theory, 1999, Jerusalem, Israel, 283–300.
   Google Scholar
• Boyles, S. and S. T. Waller. (2007). "A stochastic delay pre-diction model for real-time incident management." ITE Journal 77, 18–24.
   Web of Science ®Google Scholar
• Boyles, S. and S. T. Waller. (2009). "Optimal information location for adaptive routing." Accepted for publication in Networks and Spatial Economics.
   Web of Science ®Google Scholar
• Boyles, S., D. Fajardo, and S. T. Waller. (2007). "A naive Bayesian classifier for incident duration." Proc., the 86th Annual Meeting of the Transportation Research Board, January 2007, Washington, D.C.
   Google Scholar
• Clark, S. and D. Watling. (2005). "Modelling network travel time reliability under stochastic demand." Transportation Research Part B. 39, 119–140.
   Google Scholar
• Gao, S. (2005). Optimal Adaptive Routing and Traffic Assignment in Stochastic Time-Dependent Networks. Ph.D. thesis, Massachusetts Institute of Technology.
   Google Scholar
• Garib, A., A. E. Radwan, and H. Al-Deek. (1997). "Estimating magnitude and duration of incident delays." Journal of Transportation Engineering. 123, 459–486.
   Web of Science ®Google Scholar
• Golob, T. F. and W. W. Recker. (2003). "Relationships among urban freeway accidents, traffic flow, weather, and light-ing conditions." Journal of Transportation Engineering. 129, 343–353.
   Web of Science ®Google Scholar
• Golob, T., W. Recker, and J. Leonard. (1987). "An analysis of the severity and incident duration of truck-involved freeway accidents." Accident Analysis and Prevention. 19, 375–395.
   PubMed Web of Science ®Google Scholar
• Hogema, J. H., A. R. A. Vanderhorst, and P. J. Bakker. (1994). Evaluation of the 16 Fog-Signaling System with Respect to Driving Behaviour (Evaluatie Van Het a 16
   Google Scholar
• Mistsignaleringssysteem in Termen Van Het Rijgedrag.) Publication TNO-TM 1994 C-48, TNO Technische Menskunde, Soesterberg, The Netherlands.
   Google Scholar
• Ibrahim, A. T. and F. L. Hall. (1994). "Effect of adverse weather conditions on speed-flow-occupancy relation-ships." Transportation Research Record. 1457, 184–191.
   Google Scholar
• Jones, B., L. Janssen, and F. Mannering. (1991). "Analysis of the frequency and duration of freeway accidents in Seattle." Accident Analysis and Prevention. 23, 239–255.
   PubMed Web of Science ®Google Scholar
• Karlaftis, M. G. and I. Golias. (2002). "Effects of road geome-try and traffic volumes on rural roadway accident rates." Accident Analysis and Prevention. 34, 357–365.
   PubMed Web of Science ®Google Scholar
• Kobayashi, K. and M. Do. (1996). "The informational impacts of congestion tolls upon route traffic demands." Transportation Research Part A. 26, 505–529.
   Google Scholar
• Kockelman, K. M. (2004). "Traffic Congestion." In Handbook of Transportation Engineering, Myer Kutz, ed., McGraw-Hill Professional, New York, USA, Chapter 12.
   Google Scholar
• Lamm, R., E. M. Choueiri, and T. Mailaender. (1990). "Comparison of operating speeds on dry and wet pave-ments of two-lane rural highways." Transportation Research Record. 1280, 199–207.
   Google Scholar
• Lindley, J. (1987). "Urban freeway congestion: quantification of the problem and effectiveness of potential solutions." ITE Journal. 57, 27–32.
   Google Scholar
• Lindsey, R. (2009). "Cost recovery from congestion tolls with stochastic capacity and demand." Journal of Urban Economics 66, 16–24.
   Web of Science ®Google Scholar
• Liu, H. X., X. He, and W. Recker. (2007). "Estimation of the time-dependency of values of travel time and its reli-ability from loop detector data." Transportation Research Part B. 41, 448–461.
   Google Scholar
• Lomax, T., D. Schrank, S. Turner, and R. Margiotta. (2003). Selecting Travel Reliability Measures. Texas Transportation Institute and Cambridge Systematics.
   Google Scholar
• Miller-Hooks, E. (2001). "Adaptive least-expected time paths in stochastic, time-varying transportation and data net-works." Networks. 37, 35–52.
   Web of Science ®Google Scholar
• Morales, J. (1986). "Analytical procedures for estimating freeway traffic congestion." Public Roads. 50, 55–61.
   Google Scholar
• Nam, D. and F. Mannering. (2000). "An exploratory haz-ard-based analysis of highway incident duration." Transportation Research Part A. 35, 85–102.
   Google Scholar
• Ozbay, K. and N. Noyan. (2006). "Estimation of incident clearance times using Bayesian networks approach." Accident Analysis and Prevention. 38, 542–555.
   PubMed Web of Science ®Google Scholar
• Ozbay, K. and P. Kachroo. (1999). Incident Management in Intelligent Transportation Systems. Artech House, Boston, USA.
   Google Scholar
• Pinjari, A. and C. Bhat. (2006). "On the nonlinearity of response to level of service variables in travel mode choice models." Transportation Research Record. 1977, 67–74.
   Google Scholar
• Polychronopoulos, G. and J. Tsitsiklis. (1996). "Stochastic shortest path problems with recourse." Networks. 27, 133–143.
   Web of Science ®Google Scholar
• Schrank, D. and T. Lomax. (2009). 2009 Urban Mobility Report. Texas Transportation Institute, Texas A&M University, USA.
   Google Scholar
• Skabardonis, A., P. Varaiya, and K. F. Petty. (2003). "Measuring recurrent and nonrecurrent traffic conges-tion." Transportation Research Record. 1856, 118–124.
   Web of Science ®Google Scholar
• Small, K. A., C. Winston, and J. Yan. (2005). "Uncovering the distribution of motorists' preferences for travel time and reliability." Econometrica. 73, 1367–1382.
   Web of Science ®Google Scholar
• Smith, K. and B. Smith. (2002). Forecasting the Clearance Time of Freeway Accidents. Publication STL-2001-012, Center for Transportation Studies, University of Virginia, USA.
   Google Scholar
• Transportation Research Board. (2000). Highway Capacity Manual, National Research Council, Washington, DC, USA.
   Google Scholar
• Unnikrishnan, A. (2008). Equilibrium Models Accounting for Uncertainty and Information Provision in Transportation Networks. Ph.D. thesis, The University of Texas at Austin.
   Google Scholar
• Unnikrishnan, A. and S. T. Waller. (2009). "User equilibrium with recourse." Networks and Spatial Economics. 9(4), 575–593.
   Web of Science ®Google Scholar
• Waller, S. T. and A. Ziliaskopoulos. (2002). "On the online shortest path problem with limited arc cost dependen-cies." Networks. 40, 216–227.
   Web of Science ®Google Scholar
• Waller, S. T., K. Kockelman, D. Sun, S. Boyles, D.-Y. Lin, M. Ng, S. Seraj, M. Tassabehji, V. Valsaraj, and X. Wang. (2008). Archiving, Sharing, and Quantifying Reliability of Traffic Data. Texas Department of Transportation Report 0-5686-1, Center for Transportation Research, The University of Texas at Austin, USAS.
   Google Scholar
• Wirasinghe, S. C. (1978). "Determination of traffic delays from shock-wave analysis." Transportation Research. 12, 343–348.
   Google Scholar