MODELING AND SUPERVISION OF SMART TRAFFIC LIGHT CONTROLLER USING AT89C51 MICROCONTROLLER

Abstract Traffic light control systems are widely used to monitor and control the flow of vehicles through the junction of many roads. They aim to realise smooth motion of cars in the transportation routes. However, the synchronisation of multiple traffic light systems at adjacent intersections is a complicated problem given the various parameters involved. Conventional systems do not handle variable flows approaching the junctions. In addition, the mutual interference between adjacent traffic light systems, the disparity of cars flow with time, the accidents, the passage of emergency vehicles, and the pedestrian crossing are not implemented in the existing traffic system. This leads to traffic jam and congestion. We propose a system based on AT89C51 microcontroller that evaluates the traffic density using IR sensors and accomplishes dynamic timing slots with different levels

SMART CLOCK BASED ON REAL-TIME TRAFFIC DATA

Abstract The internet of things (IoT) and Machine learning (ML) are two rapid growing technologies which connects devices to the internet and enables to be controlled and analyze the data from any internet connected device. Using these, this paper demonstrates an idea to upgrade an ordinary clock to a smarter one which can automatically adjust the alarm ring time based on live road traffic present on user route while user is in sleep state or busy, which makes sure the user reaches on time he marked to his destination and also clock has the ability to controls home appliances using smart mode. To implement this, we have used Distance Matrix API from Google maps to get live road traffic data, Telegram app for user interface and Raspberry Pi 3 microcontroller as prototype design

Response Time Analysis of Messages in Controller Area Network: A Review

This paper reviews the research work done on the response time analysis of messages in controller area network (CAN) from the time CAN specification was submitted for standardization (1990) and became a standard (1993) up to the present (2012). Such research includes the worst-case response time analysis which is deterministic and probabilistic response time analysis which is stochastic. A detailed view on both types of analyses is presented here. In addition to these analyses, there has been research on statistical analysis of controller area network message response times