Traffic Management using Logistic Regression with Fuzzy Logic

摘要: Abstract Traffic congestion is one of the major problems in most cities across globe and it leads to several other like pollution, time wastage, long traffic queues on roads may cause accidents. Improvement Road infrastructure not always feasible solution resolve problem. In real life scenario shorter distance route towards destination attracts majority people at times aggravate jam conditions. Therefore, a information for intelligent decision making decide preference required. Moreover, system which considers factor along with situation that will add certain parameters such as distance, weather condition, road location, day week are considered formulate problem find solutions these This paper outlines combination logistic regression fuzzy logic smart preferred path can be taken. It used compute probability each possible by considering information, condition later take decisions an uncertain scenario. Proposed Method number time.