Evaluation of floating car technologies for travel time estimation
Xiaobo LIU1, 2*, Steven CHIEN3, Kitae KIM3*
1. Jacobs Engineering Group, Department of Planning, Morristown, New Jersey 07962, USA 2. School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, China 3. Department of Civil and Environmental Engineering, New Jersey Institute of Technology, Newark, New Jersey 07102, USA
Abstract Travel times have been traditionally estimated from data collected by roadway sensors. Recently, new technologies, such as cell phone tracking, license plate matching, automatic vehicle identifications and video detection, are employed for this purpose. In this study, the data collected by TRANSMIT readers, Bluetooth sensors, and INRIX are assessed by comparing each to the “ground truth” travel times collected by probe vehicles carrying GPS-based navigation devices. Travel times of probe vehicles traveling on the study segment of I-287 in New Jersey were collected in 2009. Statistical measures, such as standard deviation, average absolute speed error, and speed error bias, were used to make an in-depth analysis. The accuracy of each travel time estimation method is analyzed. The data collected by Bluetooth sensors and the TRANSMIT readers seem more consistent with the ground true data, and slightly outperform the data reported by INRIX. This study established a procedure for analyzing the accuracy of floating car data (FCD) collected by different technologies.
The authors would like to acknowledge the support of Drs. K. Mouskos (City University of New York), M. Boile (Rutgers University, the State University of New Jersey), and A. Kornhauser (Princeton University), who offered valuable comments while collecting and processing the data of this study.
Cite this article:
Xiaobo LIU, Steven CHIEN, Kitae KIM.Evaluation of floating car technologies for travel time estimation[J] JMT, 2012,V20(1): 49-56
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