Design of Knowledge-Based Efficient Speed Optimization Algorithm in Unplanned Traffic

Speed Optimization in an Unplanned Traffic (SOUT) is a very promising research problem. Searching for an efficient optimization algorithm to increase the degree of speed optimization and thereby increasing the traffic flow in an unplanned zone is a widely concerning issue. However, very few research works have been carried out on the optimization of the lane usage and speed optimization simultaneously. This paper presents a novel SOUT technique to solve the problem optimally using the knowledge derived by analyzing the speed of vehicles, which, in turn will act as a guide in designing lanes optimally to provide better optimized traffic. Also, base model estimates for different features like dimensional factors for the geometric design as well as different traffic control features are being adjusted by the accident factors. Knowledge-based analysis technique is applied to the proposed design and speed optimization plan. The experimental results and observations are quite encouraging.