In order to overcome the shortcomings of subjective evaluation that experienced testers and much time are required, and the evaluation results are closely related to human subjective awareness and environmental factors. An objective evaluation model of vehicle drivability based on longitudinal and lateral movement characteristics is proposed. It reveals the quality of vehicle drivability by analyzing the objective parameters, which are obtained through on-board sensors. First , a vehicle drivability evaluation model framework is given, including signal collection, data cleaning, feature extraction and automated scoring. Then, according to the longitudinal and lateral dynamic model, objective parameters such as steering wheel angle, vehicle speed, longitudinal acceleration, lateral acceleration, engine speed, engine torque, gear shift signal, accelerator pedal opening and braking signal are obtained from the developed Intelligent drivability objective evaluation tool (I-DOET) hardware platform，It is composed of CAN module and AD analog quantity module, which can be used to obtain objective parameters in vehicle-mounted OBD and inertial navigation sensors，such as IMU or acceleration sensors. Thereafter, Fuzzy analytic hierarchy process（FAHP）is used to construct an objective drivability evaluation model. The subjective weight is determined by a team of calibration engineering with rich evaluation experience and full-time professors from Wuhan University of Technology. The fuzzy logic matrix is obtained by analyzing a large number of vehicle tests in the early stage. Finally, a real-vehicle verification is carried out with a single-line shifting conditions. The experimental results show that the vehicle drivability evaluation model based on longitudinal and lateral movement characteristics can scientifically and effectively evaluate the vehicle drivability. The objective drivability evaluation model can not only be used for the evaluation of drivability, but also provide a theoretical basis for the objective evaluation of vehicle ride comfort and handing stability. In addition, the model is also suitable for driving evaluation of new energy vehicles and autonomous vehicles.

Mr. Wei Zhou, Wuhan University of technology, CHINA Prof. Xue xun Guo, Wuhan University of technology, CHINA Dr. Xiaofei Pei, Wuhan University of technology, CHINA Dr. Chengcai Zhang, Wuhan University of technology, CHILE Dr. Jun Yan, The Technology Centre of Dongfeng Motor Corporation, CHINA Mr. Jialei Xia, The Technology Centre of Dongfeng Motor Corporation, CHINA Mr. Yu Tang, China Automotive Engineering Research Institute Co.,Ltd, CHINA