Papers by Author: Li Gao

Abstract: In order to provide basis and standards to the research on unmanned driving behaviors, a more thorough evaluation system of Intelligent Behavior for Unmanned Ground Vehicles needs to come forward. The intelligent behavior of unmanned ground vehicles in pedestrian crossing scenario is taken as an example in this paper. By using building and analyzing evaluation index system, this paper proposes an evaluation method that can comprehensively expressed the technological performance of unmanned ground vehicles based on Analytic Hierarchy Process (AHP). Compared with traditional methods, this evaluation method takes index weight into sufficient conderations and is more objective. The method properly works out with index weight of specific scenarios that reflects the actual situations. The establishment of comprehensive scoring method objectively and conveniently turns the performances of unmanned ground vehicle into scores, so that the results can be compared and ranked directly. Last but not least, a certain participating vehicle is used for case study. The result proves aforementioned method to be practical, reliable, convenient and logical. It not only evaluates the assessment comprehensively, but also evaluates the index separately to guide researchers to find out the defects of unmanned driving vehicle evaluation indexes and point out ways to improve them.

Abstract: In order to improve the comprehensive and rationality of examination for driving braking performance with Mean Fully Developed Deceleration (MFDD) in road test, also to provide a basis for driving braking performance evaluation with MFDD when real driving, an approach for determining the MFDD threshold is proposed considering initial braking velocity and passenger capacity. According to the vehicle braking performance road test rules in GB7258, a simulation model is built, and simulation tests are made with different initial braking velocities. Based on simulation data, MFDD is calculated, and the curve of MFDD with initial braking velocity is also given, and then the effects of initial braking velocity on MFDD and its threshold are analyzed; the curves of MFDD thresholds with initial braking velocity are plotted with no-load and full-load respectively. The influence of passenger capacity on MFDD threshold is analyzed, and the curve of MFDD threshold with passenger capacity is given, too. Finally, the formula of MFDD threshold with initial braking velocity, seating capacity and passenger capacity is resulted.

Abstract: With finite element simulation method, the fatigue life of vehicle front floor is analyzed in different vehicle masses and velocities, and the washboard enhancement coefficient is calculated, then K-v curve, K-m curve and K-v-m surface are drawn, with which influence of vehicle velocity and mass on washboard enhancement coefficient is studied. The study results show that, when the mass is constant, washboard enhancement coefficient increases first and then decreases with velocity increasing, and reaches peak at a certain velocity; when velocity is constant, washboard enhancement coefficient decreases as mass increasing; when velocity and mass both changes, washboard enhancement coefficient varies in K-v-m surface.

Abstract: According to the vehicle braking efficiency road test rules in GB7258, the braking efficiency on-line monitoring index, parameter, method and threshold are studied. Mean fully developed deceleration (MFDD) is selected as the evaluation index. Pitch angle which is used to monitor the road slope(less than 1%) is collected by gyroscope. Vehicle maximum deceleration is collected at the period of ABS working, which is to make sure that the road adhesion coefficient is more than 0.7. Vehicle maximum braking deceleration is analyzed, and it is used to exclude driving on pit, decelerating band, road step, even crash and so on. The rapid stop is identified with brake pedal travel senor. MFDD is calculated with braking deceleration and wheel speed, and wheel speed is collected from ABS with can bus. MFDD threshold is determined with passenger capacity monitoring with card reader. Finally, the method of vehicle braking efficiency on-line monitoring and evaluation with MFDD is given.

Abstract: The paper mainly introduced the merit of taking the super electric capacity as the main energy- stored installation, the basic principle of braking energy regeneration system, the designed scheme, the hardware along with the operation mode of electric vehicle. The design of hardware circuit and operation mode had been carried on.

Abstract: The research on monitoring and predicting drivers’ fatigue state has remarkable effect on prevention of traffic accidents, using the CCD image sensor camera as the image acquisition device of driver’s face and the 940nm infrared emitting diode as the light supplementary device and 3-points light supplementary had been utilized, the light supplementary system had been optimized by the experiment of infrared light supplementary which proceeded by means of combining the orthogonal experiment and expert fuzzy evaluation. The research result makes great sense to the monitoring of drivers’ fatigue state and traffic safety

Abstract: DTA modeling is first presented by Daganzo and Sheffi aiming at building up model to descript the traffic assignment in terms of practical application., their work lays the foundation of SUE (Stochastic User Equilibrium) modeling. This paper makes a brief review of Probit model, a integrated model based on Probit model with elastic traffic demand is presented by using SUE method, the existence and uniqueness of the solution to the model is dicussed, the solution to the model is presented. Finally, a case study is presented.

Abstract: Logit model is among the most important model in SUE DTA study. A lot of work have been done based on Logit model. As the other very important SUE DTA model, Probit model has not been the focus of many researcher. This paper presents a SUE model based on Probit model, which aims at building up the Probit model with constant demand. The existence and uniqueness of the model is presented, Finally, a algorithm is given.