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Traffic Data Analysis Using Automatic Traffic Counter-Cum-Classifier
Objective: With the advancement of new technologies, traffic data can be collected for the development of existing and new infrastructure. In this study, traffic data has been collected using traffic counter-cum-classifier. Method: The automatic data collection system based on pressure sensor has been studied. The instrument collects the data by sensing the hits made by the tyres of the moving vehicles. The paper discusses about the hardware and software set up of the instrument. Findings: The instrument is able to collect and analyze the macroscopic as well as microscopic characteristics of traffic. It senses the hits produced on the Pneumatic Tube by the running vehicles and data is recorded. This recorded data is then converted into the useful information by the software and according to the calibration of the software. The data can be collected and stored on a number of sites and analyzed by the software. Instrument is able to provide the various results related to characteristics of the traffic like total vehicle counts, classification, 85% speed, peak hour, time headway etc. The reports related to analysis of data can be generated in the form of graphs and pie chart etc. Improvements: Further field testing of the instrument in Indian condition can be done and accuracy of the instrument can be compared with manual methods and other automatic methods.
Data Collection, Metro Count, Pneumatic Sensor, Traffic.
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