Research Of Driving Behavior On Dynamic Dilemma-zone At Urban Roads Signal Intersection

With the development of society and economy,the continued growth of car ownership,the improvement of transportation infrastructure,the serious threat to road safety,and the frequent occurrence of traffic accidents,especially at the signalized intersections.Among them,the dilemma phenomenon makes it difficult for the vehicles to pass through the intersection,whether it passes or not,intensifies the traffic contradiction,and affects the safety of the driver.Studying the driver’s driving characteristics,solving the problem of the urban road dilemma,alleviating the contradiction between vehicles at the intersection,and improving the road traffic capacity are important issues to be solved urgently.Based on this,this paper takes the vehicle in the dilemma area as the research object,starting with the influencing factors of the dilemma area and the driver’s choice behavior.Based on the statistical analysis of the data,the driver’s selection behavior of the dilemma area is constructed based on Logit and HMM respectively.model.The main research contents of this paper include the following aspects:(1)Using a combination of RP survey and SP survey,the survey questionnaire was designed and the vehicles on the urban roads were video-captured.The free speed of the vehicles on the site was extracted.Simulations were performed with Vissim software in different lanes and different bus ratios.There is a significant effect on the length of the dilemma.(2)Based on the SEM model,the driver’s choice of behavioral mechanism is studied in depth.The results show that the driver’s driving information has a significant influence on the driving choice behavior and is positively correlated,followed by the impact of social attributes on driving behavior,and on the auxiliary system.The opinions on the choice of driving behavior have an impact but the weakest effect.Their effect values are 0.53,0.41,and 0.35,respectively.(3)According to the conclusion of the SEM model,driving information and social attributes were selected to construct a driver selection behavior model based on binary Logit.The results showed that the driving age,driver’s license type,and lane are the main factors affecting thedriver’s selection probability;The parking probability is greater,the driver’s license type is more likely to stop,while the driver in the right-most lane has a higher probability of accelerating.Through the actual investigation and the predicted value of the model,it is found that the accuracy of the model is 66.67% under the countdown intersection.(4)In this paper,the hidden Markov model is used to input the observation sequence from the intersection location,the green light countdown,the lane,the front of the vehicle there are four observation sequence information,respectively to build the acceleration pass and deceleration stop two state recognition models,and verify the model recognition accuracy It reaches 67%.