随着车辆信息化、智能化、网联化的快速发展,交通系统内部各元素之间的耦合关系变得更加复杂,给传统的交通理论和方法带来巨大的挑战,作为实现混行环境下人车路协同的基础,人车耦合机理及人机协同特性亟待探究。围绕明晰网联信息对驾驶人微观驾驶行为影响并提升网联信息有效性的目标,本文在已有研究的基础上,重点探究网联信息如何影响跟驰行为、如何影响换道行为及如何呈现信息刺激来提升信息的有效性和驾驶人服从度三个核心问题。按照“对比-提升-机理探索”的研究步骤,开展了三项实验研究。第一个研究聚焦于网联信息对驾驶人跟驰行为及绩效的影响。该研究通过呈现单前车网联信息和多前车网联信息两个模拟驾驶实验,为更新网联环境下的跟驰模型提供了反应时间、驾驶人服从度、车头时距等实测参数,并给出了反应时间、驾驶人服从度在前车不同加速度水平下的变化及个体差异。本研究结果显示,多通道的网联信息可以通过提升驾驶人的反应能力来提高驾驶人服从度,除能力外,驾驶人服从度更多的受到意愿的影响。 第二个研究聚焦于网联信息对驾驶人换道行为及绩效的影响。该研究以目标车道后车驾驶人为研究对象,通过模拟驾驶实验探究了V2V沟通对换道行为的影响,并进一步通过抽象任务及中介效应分析,研究了影响驾驶人换道合作意愿的因素及机理。结果表明,在实际驾驶中,合作行为受到安全因素的影响,在抽象任务中,合作意愿主要受到换道原因的必要程度影响,并且,对该换道原因的信任程度和同情程度也影响合作意愿。第三个研究聚焦于在驾驶过程中,当跟驰和换道等场景同时存在时,如何呈现信息刺激来提升网联信息的有效性。该研究以振动警报为研究对象,探究了振动警报的位置及刺激-响应一致性对驾驶人反应时间的影响。结果表明,驾驶人对于振动警报的反应时间受振动感知强度及信号传导距离的影响。 本研究对网联环境下驾驶人的行为特征进行观察,发现驾驶行为、决策与绩效随影响因素的变化规律,是对传统驾驶人因、传统交通流研究在理论上的扩展。通过网联信息的不同呈现方式、呈现内容,提升驾驶人对跟驰信息的服从度、换道请求的合作意愿以及振动警报下的反应时,对于后续车联网技术更安全的普及、更有效的推广具有重要的社会意义。
ith the rapid development of vehicle informatization, intelligence and connectivity, the coupling relationship of elements within the traffic system has become more complex, and the traditional traffic theory and methods are facing great challenges and changes. As the basis for realizing human-vehicle-road cooperation in a mixed traffic environment, the mechanism of human-vehicle coupling and the characteristics of human-machine cooperation need to be explored. In this paper, based on existing research, we focus on three core issues, namely, how connected information influence the car-following behavior, how connected information influence the lane-changing behavior, and how to present information stimuli to improve the effectiveness of information and driver compliance. Three experimental studies were conducted in accordance with the research steps of "comparison-improvement-mechanism exploration".The first study focuses on the effect of connected information on drivers’ car-following behavior and performance. This study provides measured parameters such as response time, driver compliance and time headway for updating the model of car-following in a connected environment by presenting two simulated driving experiments with single lead car information and multiple lead car information, and gives the changes and individual differences of response time and driver compliance at different acceleration levels of the lead car. The results of this study show that multi-channel connected information can improve driver compliance by enhancing driver reaction ability, and driver compliance is more influenced by willingness in addition to ability.The second study focused on the effect of connected information on drivers‘ lane- changing behavior and performance. This study explored the effect of V2V communication on lane-changing behavior through simulated driving experiments, and further investigated the factors and mechanisms affecting drivers‘ willingness to cooperate in lane-changing through an abstract task and mediating effect analysis. The results show that in real-world driving, cooperative behavior is influenced by safety factors. In the abstract task, willingness to cooperate was mainly influenced by the necessary degree of the reason for lane change, and, the degree of trust and sympathy for that reason for lane change also influenced willingness to cooperate.The third study focuses on how to present information stimuli to enhance the effectiveness of the connected information during driving when scenarios such as car-following and lane-changing are present at the same time. This study investigated the effect of vibration alert location and stimulus-response coherence on driver response time. The results show that the driver‘s response time to the vibration alert is influenced by the perceived intensity of the vibration and the signal transmission distance. This study observes the behavioral characteristics of drivers in the connected environment and discovers the changing patterns of driving behavior, decision making and performance with influencing factors, which is a theoretical extension of the traditional driver human factors and traditional traffic flow studies. Through the different presentation methods and presentation contents of the connected information, the driver‘s compliance to the car-following information, the willingness to yield to the lane change request and the response time under the vibration alarm are improved. This study has important social significance for the subsequent safer diffusion and more effective promotion of connected vehicle technology.