As the number of vehicles rises, there is a problem with traffic congestion on the roads. This problem is characterized by slower speeds, greater time spent travelling, and more congestion in the traffic lanes. In addition to raising resource prices, accidents, and environmental harm, it affects a country's economic growth. Using traffic control signals at crossings is one of the most feasible solutions to this issue. At the moment, static cycle time control are used to implement the majority of signal controllers. Conventional traffic signal control techniques are not very successful at managing circumstances with heavy traffic. Thus, the Expert System (ES), a subfield of Artificial Intelligence (AI), sometimes referred to as the Rule-Based System (RBS), is used in this work. The researchers developed a novel expert system called the Traffic Lights Expert System (TLES). TLES uses evidential reasoning as its inference engine and a rule-based knowledge representation. This technology may assign the proper dynamic cycle time at intersections.
Advanced Traffic Control System using AI
2025-01-16
431143 byte
Conference paper
Electronic Resource
English
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