Knowledge Based Expert System in Transportation Engineering and Traffic Adaptive Signal Control System

Knowledge-based Traffic Engineering Expert System and Traffic Adaptive Signal Control System I. Abstract Advances in computer technology have changed the field of transportation. Based on this, an intelligent transportation system has been proposed and developed for the next generation transportation system. The system needs to make more use of artificial intelligence like knowledge-based expert system than existing ones. Knowledge-based expert systems are not well researched in the transportation field, but it is recommended that they be implemented as part of intelligent traffic system of traffic adaptive signal control system.

The fifth generation adaptive traffic signal control system is based on self-learning functions and efficient computing functions in autonomous vehicles and general vehicle environments. The fifth generation adaptive traffic signal control system independently learned traffic control knowledge based on empirical information and real time traffic conditions and intellectually reduced calculation load of decision optimization. As of June 2014, the InSync system is applied to 1,350 intersections in more than 100 cities in the United States, it is the fastest growing adaptive traffic control system in the United States and is now recommended by the FWHA . Manolis et al. We developed and evaluated a new method for automatic automatic adjustment and calibration procedure by theoretical analysis and large scale simulation experiment

An adaptive traffic signal control system is an effective means for mitigating urban traffic congestion. The system can adjust signal timing parameters in real time according to seasonal change and short-term fluctuation of traffic demand, thereby improving the traffic efficiency of the urban road network. The development of information technology in computational science, automatic operation, inter-vehicle distance and mobile Internet has produced abundant access to traffic data. Significant improvements in data collection include the amount of available holographic data, the type of data available, and the increase in accuracy. In addition, it will provide entry points and technical support for the development of automobile to X system, automobile Internet and automatic driving industry.