Automatization Intelligent Transportation Control System Based on Cloud Computing

For the past few years, phenomena such as traffic congestion and traffic accidents in big cities have occurred one after another, greatly and adversely affecting the people’s lives. Intelligent transportation system is perceived as an optimum solution to solve this question. This paper delves into several common route guidance algorithms, analyzes respective characteristics, improves and parallelizes ant colony algorithm on the basis of these characteristics, and designs and implements based on Map Reduce under Hadoop. Faced with specific application of transportation system and based on Map Reduce model and distributed data management technology, this paper delves into transportation network data management methods, analyzes transportation data by using VISSIM and designs the transportation network data structure. By abstractly establishing the transportation network data model catering to ant colony algorithm, the parallel ant colony system on the basis of cloud computing is implemented. This experiment has demonstrated good actual value the intelligent transportation system possesses.