Arulmozhivarman P

Department of Instrumentation

School of Electrical Engineering

Vellore Campus

Shrivastava A

Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

2016 International Conference on Communication and Signal Processing (ICCSP)

Inductive loop detectors (ILDs) are one of the most widely deployed traffic sensors. At present, for lane-by-lane detection, ILDs require separate connecting cables for each loop (each lane) and separate data acquisition systems or detector channels to process them. This becomes problematic with limited conduit and cabinet space. In most cases, transportation agencies use ILDs connected in series to avoid these constraints, in which case the lane-by-lane information is lost. However, research has shown that lane-by-lane detection can lead to safer and more efficient operations at signalized intersections. In order to ease the application of lane-by-lane detection, the current study proposes a solution that uses electronic circuit modification to convert the existing serially connected loops to carry out lane-by-lane detection. This system achieved 100% accuracy of lane-by-lane detection in test runs. The paper also proposes an improved loop design, for future installations, that can be used for vehicle classification and wrong way detection. The study implemented machine-learning algorithms for vehicle classification and direction determination with an accuracy of 99.6% and 78.57%, respectively, using single loop configuration. © National Academy of Sciences: Transportation Research Board 2018.

Transportation Research Record

An improved inductive loop detector design for efficient traffic signal operations and leaner space requirements

2015 IEEE International Symposium on Circuits and Systems (ISCAS)

Real-time vehicle color identification using symmetrical SURFs and chromatic strength

IEEE Transactions on Intelligent Transportation Systems

Symmetrical SURF and Its Applications to Vehicle Detection and Vehicle Make and Model Recognition

Vision-Based Vehicle Detection System With Consideration of the Detecting Location

Adaptive Background Modeling Integrated With Luminosity Sensors and Occlusion Processing for Reliable Vehicle Detection

Vehicle Detection and Tracking in Car Video Based on Motion Model

Vehicle direction detection using symmetrical SURF and centroid point calculation

Journal	Data powered by Typeset2016 International Conference on Communication and Signal Processing (ICCSP)
Publisher	Data powered by TypesetIEEE
Open Access	0