The objective of this research was to develop an algorithm to estimate traffic speed for freeway sections in real-time, as part of a traveler information system. The location data for RTD buses were collected for several months to develop and test an algorithm to estimate traffic speed. The plan is to provide travelers traffic speed information, updated every few minutes, for freeway sections. Typically, this type of reporting is based on the data collected by fixed sensors such as detectors, video cameras and other sensors located on the freeway. However, CDOT is unable to report traffic information for freeway sections without such infrastructure in place. On the other hand, RTD buses traversing these same sections are equipped with GPS receivers, the data from which can be utilized in estimating traffic speed. As part of this project, a statistical model to estimate traffic speed from bus speed, geometric characteristics of freeway and weather conditions was developed. The model was developed and tested based on data collected for a 13-mile section of the Interstate 25 (I-25) freeway. The models performance was further examined based on data collected for an 11- mile section of the Interstate 225 (I-225) freeway.
Using RTD's Transit Vehicles to Develop Freeway Speed Maps for Colorado
2004
142 pages
Report
No indication
English
Transportation & Traffic Planning , Transportation , Road Transportation , Traffic speed , Traffic management , Least squares method , Non-parametric regression , Maximum likelihood estimation , Logistic regression , Colorado , Freeways , Traveler information systems , Proportional odds models , RTD buses , Global positioning systems
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