Conference Interactive Program
To view the 2013 Annual Meeting Interactive Program
TRB 91st Annual Meeting (January 22-26, 2012)
Research in Traffic Flow Theory and Characteristics, Part 4 (Part 1, Session 403; Part 2, Session 433; Part 4, Session 493)
Jan 24 2012 8:30AM- 10:15AM
Marriott, Salon 2
Travel Time Estimation for Urban Road Networks Using Low-Frequency GPS Probes (12-3159)
The paper presents a model for urban road network travel time estimation using low frequency GPS probes as observations. The model separates trip travel times into segment travel times and intersection delays, which are modeled as stochastic variables. We combine fixed segment effects with geometric attributes and trip conditions as explanatory variables to reduce the number of parameters to estimate and to be able to predict travel times also in areas with very few observations. We are able to assess the robustness of the results by reporting standard errors. The approach also makes results considerably easier to interpret, evaluate and use for qualitative forecasting. Further, the model allows correlation between travel times on different network segments and presents a way to estimate the correlation experienced by a driver traversing the segments sequentially on the trip. The model is applied in a case study for the network of Stockholm, Sweden. We find that geometric attributes and trip conditions have significant effects on travel times and that there is significant correlation between segments.
Jenelius, Erik , KTH Royal Institute of Technology, Sweden
Rahmani, Mahmood , KTH Royal Institute of Technology, Sweden
Koutsopoulos, Haris N., KTH Royal Institute of Technology, Sweden
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