Visualizing Traffic Dynamics Based on Floating Car Data
Publication: Journal of Transportation Engineering, Part A: Systems
Volume 143, Issue 5
Abstract
The well-known spatiotemporal traffic diagram is a popular and powerful tool in the field of transportation research and practice. It is an important basis of analyzing traffic conditions, identifying bottlenecks, and controlling and routing traffic. Traditionally, the spatiotemporal diagram is constructed by using stationary detector data, and little research has focused on construction using widely existing floating car data (FCD). Therefore, this paper proposes a data-driven method to construct the spatiotemporal diagram by using FCD. The method is completely based on FCD without the aid of map-matching and geographic information system tools. Two real-world road networks in Beijing are taken as examples to demonstrate the method. The method is validated by comparing instantaneous speed contained by individual trajectories with aggregated speed in the spatiotemporal diagrams. The method helps to understand traffic dynamics from FCD, and then aids to carry out various transportation researches and applications.
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Acknowledgments
The research is funded by National Natural Science Foundation of China (NFSC) (71501009, 71501191).
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Published In
Journal of Transportation Engineering, Part A: Systems
Volume 143 • Issue 5 • May 2017
Copyright
©2017 American Society of Civil Engineers.
History
Received: Feb 17, 2016
Accepted: Oct 4, 2016
Published ahead of print: Jan 31, 2017
Published online: Feb 1, 2017
Published in print: May 1, 2017
Discussion open until: Jul 1, 2017
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