Papers by Author: Yu Long Pei

Abstract: This paper presents a solution to calculate the traffic management and control facilities fault tolerance ability to driving mistakes due to drivers fault in perception, judgment and operation. Firstly, according to Shannon information theory, the information volume of eight types of contents on transportation management and control facilities are calculated. The total information volume of these eight types of contents is the basic driving fault tolerance of the facilities. Then, the right rate that facilities set and designed, driver conditions and transportation conditions are screened out for correction coefficients. Finally, the actual driving fault tolerance is given by the product of the basic driving fault tolerance and the three correction coefficients. The solution is useful to evaluate the intersection safety level.

Abstract: In order to explore the characteristics of passenger waiting time in high-speed rail hub, this paper analyzed the influencing factors of passenger waiting time, based on the survey of passenger waiting time in high-speed rail hub. And the main influencing factors were screened out using variance analysis. Then the prediction model of passenger waiting time based on BP neural network was established, the parameters of the model were calibrated and the validity was verified. The results show that, travel time in urban area, trip distance, familiarity toward the hub, educational background of passengers, and the type of transportation is the main influencing factor of passenger waiting time in high-speed rail hub, and the average relative error is only 9.2% using the proposed prediction model of passenger waiting time based on BP neural network.

Abstract: In order to explore the characteristics of upstream passengers select between stair and escalator in high-speed rail hub, this paper analyzed the influencing factors of passenger choice behavior, based on observing the behavior of upstream passengers in high-speed rail hub. Probability choice model of upstream passenger was established according to regression analysis using logistic function, the parameters of the model were calibrated and the validity was verified using survey data. The results show that, five factors—the height of the stair, the number of luggage, gender and age of passenger, and queuing number at the entrance to the escalator can affect the choice behavior of upstream passengers, and the forecast accuracy is up to 92.3% using the proposed probability model of upstream passenger who select escalator in high-speed rail hub.

Abstract: Drink-driving has a significant impact on road traffic safety. Based on the choice of driver’s physiological and eye movement characteristics indicators, this study compared driver's skin electricity change characteristics was compared under different alcohol intake, heart rate scatter diagram was used to establish the Poincare section, and driver’s physiological characteristics under alcohol effect were analyzed. Driver’s fixation, saccade and blink were compared under different alcohol intake to study the change of some characteristics. On the basis of the recovery experiment of drivers’ physiological and eye movement characteristics after drinking, this study gave the elimination time under alcohol effect of physiological and eye movement characteristics then revealed the change law of the driver’s physiological and eye movement characteristics under alcohol effect. Results show that alcohol effect elimination time can be determined by analyzing driver’s physiological and eye movement characteristics indices, which is useful for mastering the reasonable driving time after drunk.

Abstract: The current traffic lights are composed of red, amber, and green, and it is controversial that the drivers’ behavior choices and the content of the relevant laws & regulations during the amber timing. From the current situation with the signal intersection, the amber light time and the red clearance aren’t differentiate, usually the amber light time acts as red clearance. It will not improve the traffic operating efficiency of the intersection, but bring more traffic conflicts, if the role of the amber light time returns to academic research, which the amber is a warning signal. The paper analyzes the process that the drivers choose stopping by slowing down or passing by maintaining the speed during amber time from the vehicle dynamic characteristics. And then, the generalized amber interval dilemma is defined to establish the mixed-strategy game theory model, which reveals the utility of the driver and signal manager in the amber interval, and the algorithm of Nash Equilibrium point is also research focus. According to Nash Equilibrium, the optimal solution of the game theory model is (acceleration, amber setting) or (deceleration, amber canceling).

Abstract: Traffic accidents caused by drivers’ fatigue carry less than one percent of the whole accidents in HLJ Province during the years 2006 to 2008. However, more than forty percent of such accidents accompanied fatalities. Drivers’ fatigue is usually hard to be identified and there are no valid measures that could make real-time detection for it. Accordingly, variables such as drivers’ characteristics, time of accident and whether using seat belt are considered to have close association with the injury severity in fatigue-related traffic accidents. This research focuses on analyzing injury severities of traffic accidents caused by drivers’ fatigue, utilizing stepwise logistic regression method. Potential risk factors such as human, environment, road, and so on, were examined. Driving year, road pavement type, road grade and alignment, terrain, time and type of the accident, streetlight condition, vehicle type, speed limit, the number of vehicles involved, and whether using seat belt are significant factors impacting the injury severity. Identifying the high risk factors influencing the injury severity of fatigue-related accidents helps prevent the occurrence of drivers’ fatigue and improve road safety conditions.

Abstract: The progress of vehicle collision can be broken into three stages: pre-collision, collision and post-collision. Although the direct collision lasts very little time, it is one of the most important stages of the whole process. On the basis of Momentum Conservation, Energy Conservation and improved Coefficient of Elastic Recovery, using Newtonian Mechanics, the paper constructs dynamics model for vehicles’ two-dimensional collisions, which can be used to calculate the velocities at the moments of before and after the collision. The paper uses the Software of PC-Crash as a comparative study, the results of which show that the proposed models are suitable for the analysis of collisions involving only two cars without second collision.

Abstract: In order to study driver’s mental workload when driving on snow pavement, data of snow pavement’s friction coefficient were observed and blood flow, skin temperature and respiration volume of driver’s were obtained through field experiment. Friction coefficient of snow pavement ranges from 0.04 to 0.31. The correlation between temperature of atmosphere and friction coefficient, snow’s thickness and friction coefficient are weak. And the correlation between moisture of atmosphere and friction coefficient, snow’s degree of compaction and friction coefficient are strong. Multi-linear regression model was established among moisture of atmosphere, snow’s degree of compaction and friction coefficient. The average value of inexperienced driver’s blood flow, skin temperature and respiration volume are 171.423mv, 33.263°C and 2317.263ml when driving on snow pavement, which are far greater than that of experienced driver’s and that of inexperienced driver’s when being immobile and driving on non-snow pavement. The effects of snow pavement on mental workload of inexperienced driver’s are obvious. According to driver’s physiological index, calculation model of diver’s tenseness degree was established and it can evaluate tenseness of drivers quantitatively.

Abstract: In road traffic circumstance, the ice-snow pavement brings obvious adverse influence to the motor vehicles safety. This paper analyzes the relationships between friction coefficient and temperature, and between friction coefficient and relative humidity, and between friction coefficient and thickness, and between friction coefficient and compaction degree through a large number of experimental. Then base on these fundamental analyses, to use the experimental methods which are composed by simulations and actual test, to analyze the influence to driver’s physiology & psychology under different ice-snow roads conditions (as different ice-snow road alignment, etc.). Experimental studies have shown that when driving on the ice-snow pavement, ice-snow steep slope or ice-snow continuous curve, the drivers’ physiological load and physical burden are increased obviously; this indicates that it is unfavorable driving under these conditions.

Abstract: This paper analyses the source and development of fault tolerance theory, and discusses the working process of fault tolerance, and illustrates the workflow and dependability of fault tolerance. So there is a widespread belief that this is feasible that fault tolerance theory is used in the traffic safety study. Base on summarizing fault tolerance factors, the paper gives fault tolerance conceptual model primarily which could be used in the road traffic safety research. Above all, the paper presents a new idea which study traffic safety issues from the perspective of fault-tolerant , and this is important core content of the paper, and is the purpose of writing this article too.