The Impact Of Connected Information On Driving Behavior And Evaluation Of Its Prompt During Car-following

With the continuous development of 5G technology and Intelligent Vehicle technology,road traffic system presents the development trend of intelligence,networking and collaboration.The acquisition and sharing of massive traffic information makes Intelligent Drive gradually possible.Before realizing the automatic driving of all connected vehicles,it can be predicted that there will be an intelligent and connected mixed driving environment consisting of Manual Vehicle,Autonomous Vehicle,Connected Vehicle and Connected ＆ Autonomous Vehicle in the future.In the environment of intelligent and connected mixed driving,the amount of road traffic information of "human-vehicle-road-environment" shows an explosive growth.Due to the limited cognitive ability of the driver,all information cannot be presented to the driver during the driving process.It is necessary to first analyze and screen the connected information,and select useful information to prompt the driver.At the same time,the prompt methods of different information will also be different,and all of these will have an impact on driving behavior.Therefore,in order to explore the performance of the driver receiving the connected information prompt in the process of car following,this paper selects the car following scene as the research object,conducts a large number of driving simulation tests,systematically analyzes the driving psychological and behavior characteristics of the driver under different front vehicle speeds and different information prompt modes,establishes the connected information evaluation model,and completes the comprehensive evaluation of the driving performance under the connected information prompt mode.The specific research contents are as follows:（1）Design of the urban road car-following scene test schemeBased on the driving simulator,a two-way four-lane urban road is built,and two typical car-following scenes are constructed,including the front vehicle rapid acceleration and emergency braking;Four kinds of information prompt methods are designed,that is,no prompt,auditory,vision and audio-visual combination;Set the operation state of the front vehicle and the prompt mode of the connected information of the following vehicle in the test,mainly including the speed and acceleration of the vehicle,the content of the connected information,the prompting method and timing,etc.（2）Analysis on the influence characteristics of connected information on driving behavior during car-followingBased on the test data of 30 drivers,the driver’s psychological/behavioral state index and vehicle state index in the scenes of the front vehicle rapid acceleration and emergency braking are analyzed respectively,and the specific characteristics of each index are described by using the method of mathematical statistics.It is found that when the driver is facing an abnormal driving,the connected information prompt has a positive impact on the driving performance,which is specifically reflected in the aspects of reaction time,following distance,vehicle lateral acceleration,rear-end collision times,subjective load,etc.The driver’s driving performance is the best under the combination of audio-visual information prompt.At the same time,the driving performance of the driver is different under the influence of different speeds of the front vehicle.With the increase of the speed of the front vehicle,the effect of connected information prompt is more obvious.（3）Evaluation of the effectiveness and prompt method of connected information promptThe effectiveness evaluation model of connected information prompt is established by using TOPSIS method,select the evaluation indicators in the scenes of the front vehicle rapid acceleration and emergency braking,the subjective and objective weights of each evaluation index are determined based on the analytic hierarchy process and the entropy weight method,and the comprehensive weights are calculated.Finally,the comprehensive evaluation model is established by using TOPSIS method,which comprehensively evaluates the driving performance of the driver under different speeds of the front vehicle and different information prompt methods in the process of car-following,compares the comprehensive evaluation results in different driving scenes,and verifies the effectiveness of the evaluation model according to the index characteristics.Finally,based on the driver’s satisfaction with the information prompt method,the connected information prompt strategy and application scenes are proposed.From the perspective of human factors engineering,this paper explores the driving performance of different connected information prompt methods under two typical emergencies in the process of driver’s response to car-following,and establishes an evaluation model to evaluate the effectiveness of information prompt.The research conclusion of this paper can provide ideas and reference for the research of connected information content,information prompt method,prompt strategy and scenes application in the environment of intelligent and connected mixed driving.