Driver Behaviour Analysis and Dynamic Modeling within the Connected Vehicle Environment

互联汽车(CV)技术是交通运输行业的下一个重大发展。CV技术促进了车辆通过无线网络与其他车辆和周围基础设施进行通信的环境，不仅极大地提高了设计和运营交通网络的管理机构的安全和效率，而且也提高了使用该网络的司机的安全和效率。虽然一些研究正在进行，为不可避免的转向CV技术做准备，但有一个重要的研究领域缺乏关注：CV技术及其配套应用给司机带来的独特挑战。因此，拟议的研究将调查这些挑战，特别是与商用车辆和司机有关的挑战。为了改善商用车和一般交通的网络性能，拟议的研究将分析三个关键领域：1)商业司机是否愿意接受可能与现有驾驶行为相冲突的CV技术的实施和应用；2)通过商用车车载设备(OBE)提供实时建议驾驶速度的算法；3)CV技术在商用车中的渗透率对全网交通机动性和安全性的影响。最后，这项研究将为制定培训计划提出具体建议，以更好地为商用车司机大规模部署CV技术做好准备。

Connected Vehicle (CV) technology is the next major development in the transportation industry. CV technology facilitates an environment in which vehicles communicate with other vehicles and surrounding infrastructure via wireless networks, greatly improving both safety and efficiency for not only the management agencies that design and operate the transportation network, but also for the drivers who use it. While some research is underway to prepare for the inevitable shift to CV technology, one significant area of study lacks attention: the unique challenges that CV technology, and its accompanying applications, poses to drivers. Therefore, the proposed study will investigate these challenges, especially those related to commercial vehicles and drivers. In an effort to improve network performance for both commercial vehicles and general traffic, the proposed research will analyze three key areas: 1) commercial-driver readiness to accept the CV technology implementation and applications, which may conflict with existing driving behaviours; 2) the algorithms to provide real-time advisory driving speeds through On-Board Equipment (OBE) in commercial vehicles; 3) the impacts of the penetration rate of CV technology in commercial vehicles on network-wide traffic mobility and safety. Finally, the study will make specific recommendations for the development of training programs that will better prepare commercial vehicle drivers for large scale CV technology deployment.