A Perceptive Model of Traffic Flow: Using Arduino Board
2018
In general, traffic is being controlled by time delay of traffic signals. It creates much problem for public to wait for their corresponding signal. In a 4- Road junction if a lane contains more traffic whereas remaining lanes contain less traffic flow in such cases the public who are on lane 1(which has high traffic) has to wait for a long duration which is not favorable. This mean present traffic control system does not follow the dynamic flow of traffic which resembles the traffic flow with respect to number of vehicle moving per lane. Some technologies developed to resolve the traffic flow such as RFID technology [1] but these are limited to some situations. The present RFID tag and field sensors can work to the maximum limit of 80m to 100m in Metropolitan cities the normal traffic is considered to be of 80m to 100m [2] in this case RFID technology can’t resolve the traffic in an extensive manner. So considering all these cases we managed to employ a load cell [3] to rectify those abnormal situations. These work in the normal situations as well as in the abnormal conditions. This work involves the utilization of Arduino to operate the signals according to the condition. At the end this work achieved a solution to clear the traffic situations and peak hours in other aspects. The aim is to smooth control of vehicles at a junction. The present traffic congestion is represented in Fig. 1. Keywords: Arduino, Load cell, LCD (16*2), Traffic congestion, density based vehicle movement, smart cities, RFID technology.
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