Vehicle Detection and Counting the Number of Vehicles for Intelligent Traffic Control Using LabVIEW

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Vehicle Detection and Counting the Number of Vehicles for Intelligent Traffic Control Using LabVIEW—An Image Processing Approach

Majumder, Prakash / Chaudhury, Saurabh

Across the globe traffic lights are used to manage the vehicle movement on road. There have been many developments in this field but yet Static lights are used in most of the cases. With the rising number of vehicles on road there is a significant amount of congestion that leads to delay and many a times due to improper management may cause accidents. This problem thereby leads to a situation where need of a smart system that can efficiently handle traffic congestion is very prominent. This paper discusses about the implementation of various image processing methodology that can be used for detection and counting of vehicles. These methodologies help in counting of vehicles on road or at traffic junctions such that exact density of vehicles on each lane can be determined. The image processing methodologies like edge detection, background subtraction, and pattern matching algorithms has been implemented and tested using LabVIEW and Vision Assistant module. The headlights of the cars appear as a bright blob on captured images. Since the distance between the headlights of an vehicle are constant for a particular type of vehicle it can be used as an criteria for pattern matching and detection of vehicles specially after dusk. The detected vehicles gives the count of number of vehicle at halt on each lanes, depending upon which a suitable lane switching algorithm is implemented, where the most congested lane is most likely to be freed first. The real time monitoring system keeps track of vehicle count on each lane in real time and controls the traffic lights of the lanes such that waiting time can be minimized.

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Document information

Title :

Vehicle Detection and Counting the Number of Vehicles for Intelligent Traffic Control Using LabVIEW—An Image Processing Approach

Additional title:

Lect. Notes Electrical Eng.

Contributors:

Sikander, Afzal (editor) / Acharjee, Dulal (editor) / Chanda, Chandan Kumar (editor) / Mondal, Pranab Kumar (editor) / Verma, Piyush (editor) / Majumder, Prakash (author) / Chaudhury, Saurabh (author)

Published in:

Energy Systems, Drives and Automations ; Chapter : 49 ; 503-513

Lecture Notes in Electrical Engineering ; 664

Publication date :

2020-09-01

Size :

11 pages

ISBN :

978-981-15-5089-8 , 978-981-15-5088-1

ISSN :

1876-1119 , 1876-1100

DOI :