Intelligent Travel Route Suggestion System Based on Pattern of Travel And Difficulties

Abstract People travel a lot to new places for career, business, education, travel, health and various other reasons. Travellers always search find shortest safest route reach the destination. They majorly consider distance, modes of transport safety as major parameters. Various algorithms, mechanisms are proposed earlier serve purpose. However existing suffer from shortcomings like unable analyze suggestions filtering database. The models use collaborative or content algorithms. These methods do not collect past user experience. main objective this paper is help travellers their source target database with best possible way. Proposed method provides information problems faced by them during travel. Based on reported issues experiences, path will be enrooted In model C4.5 decision tree algorithm used data previous experience, minimum redundancy maximum relevance (MRMR) features selection reduce execution time increase system accuracy. experimental outcome improve accuracy performance.