Design And Implementation Of Vehicle Traveling Distance Reminding Algorithm Based On Road Adhesion Coefficient

Smart transportation is an important part of smart city.The dynamically adjusted reminder distance between the vehicle and the next intersection is a hot topic of research in smart transportation,and its results can improve vehicle driving efficiency and thus reduce the time to reach the destination.The current navigation software provides a reminder of the distance and time remaining to the destination,and lacks the function to compute dynamically adjusting the distance between the vehicle and the next intersection.This paper proposes a evaluation of adhesion coefficient based on fuzzy controller algorithm and vehicle traveling distance reminder algorithm.Using this adhesion coefficient evaluation algorithm can get adhesion coefficient when the car enter a specific road,and combining with the vehicle traveling distance reminder algorithm for real-time calculation,can derive the dynamic vehicle distance to the next intersection dynamic alert.The main innovative work obtained in this paper is as follows:(1)Design a evaluation of adhesion coefficient based on fuzzy controller algorithm(EACFC).The algorithm is based on fuzzy controller technology and can output the evaluated road surface adhesion coefficient by inputting the wheel slip rate and the measured road surface adhesion coefficient.(2)Design vehicle traveling distance reminder algorithm(VTDR).The algorithm is divided into an upper level algorithm – braking distance algorithm and a lower level algorithm – Intersection distance reminder algorithm.The braking distance algorithm combines the braking model and the EACFC algorithm to calculate the dynamic braking distance on the road.The intersection distance reminder algorithm combines scenario modeling and braking distance algorithms to calculate dynamic and adjustable dynamic reminder distances between vehicles and the next intersection.VTDR algorithm solves the problem of special vehicles changing lanes and whether there is an influence of ordinary vehicles.(3)Implemented vehicle traveling distance remind system.Implementation of the system based on vehicle distance alert algorithm and simulation and verification of the algorithm.The system provides users with visualization of the simulation process,simulation results and an easy-to-use interactive interface.(4)This paper shows experimentally that the evaluation accuracy of the proposed EACFC algorithm is 57.03% and 55.94% better than that of the least-squares and Kalman filters,respectively,and the computation time of the EACFC algorithm is 85.05% and94.18% better than that of the least-squares and Kalman filters,respectively.From the SUMO simulation of urban traffic simulator,the VTDR algorithm proposed in this paper is 3.70% better than the Kruass model in terms of the average time spent to reach the end point without changing the phase of traffic lights.The VTDR algorithm is 20.56%better than the Kruass model in terms of time loss.In this paper,the science and effectiveness of the EACFC and VTDR algorithms proposed in this paper are verified through simulations and comparisons.In the way of designing and implementing these algorithms,the problem of using a fixed distance between the vehicle and the next intersection as a reminder is resolved,and the problem of using a fixed value of the road adhesion coefficient for the braking model is also resolved.