NDLI: Accurate speed and density measurement for road traffic in India

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Accurate speed and density measurement for road traffic in India

Content Provider	ACM Digital Library
Author	Cross, Andrew Thies, William Vashistha, Aditya Cutrell, Edward Sen, Rijurekha Padmanabhan, Venkata N.
Abstract	Monitoring traffic density and speed helps to better manage traffic flows and plan transportation infrastructure and policy. In this paper, we present techniques to measure traffic density and speed in unlaned traffic, prevalent in developing countries, and apply those techniques to better understand traffic patterns in Bengaluru, India. Our techniques, based on video processing of traffic, result in about 11% average error for density and speed compared to manually-observed ground truth values. Though we started with intuitive and straight-forward image processing tools, due to a myriad of non-trivial issues posed by the heterogeneous and chaotic traffic in Bengaluru, our techniques have grown to be non-obvious. We describe the techniques and their evaluation, with details of why simpler methods failed under various circumstances. We also apply our techniques to quantify the congestion during peak hours and to estimate the gains achievable by shifting a fraction of traffic to other time periods. Finally, we measure the fundamental curves of transportation engineering, relating speed vs. density and flow vs. speed, which are integral tools for policy makers.
Starting Page	1
Ending Page	10
Page Count	10
File Format	PDF
ISBN	9781450318563
DOI	10.1145/2442882.2442901
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2013-01-11
Publisher Place	New York
Access Restriction	Subscribed
Content Type	Text
Resource Type	Article

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