School of Computer Science and Informatics, De Montfort University, Leicester LE1 9BH, UK.
Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 21589, Saudi Arabia.
Sensors (Basel). 2020 Feb 13;20(4):997. doi: 10.3390/s20040997.
The field of cooperative intelligent transport systems and more specifically pedestrians to vehicles could be characterized as quite challenging, since there is a broad research area to be studied, with direct positive results to society. Pedestrians to vehicles is a type of cooperative intelligent transport system, within the group of early warning collision/safety system. In this article, we examine the research and applications carried out so far within the field of pedestrians to vehicles cooperative transport systems by leveraging the information coming from vulnerable road users' smartphones. Moreover, an extensive literature review has been carried out in the fields of vulnerable road users outdoor localisation via smartphones and vulnerable road users next step/movement prediction, which are closely related to pedestrian to vehicle applications and research. We identify gaps that exist in these fields that could be improved/extended/enhanced or newly developed, while we address future research objectives and methodologies that could support the improvement/development of those identified gaps.
协同智能交通系统领域，特别是行人和车辆之间的协同智能交通系统，可以说是极具挑战性的，因为有广泛的研究领域需要研究，并将直接给社会带来积极的影响。行人与车辆的交互是协同智能交通系统的一种类型，属于预警碰撞/安全系统这一组。在本文中，我们通过利用来自脆弱道路使用者智能手机的信息，研究和应用迄今为止在行人与车辆协同交通系统领域的研究和应用。此外，我们还对智能手机进行脆弱道路使用者室外定位和脆弱道路使用者下一步/移动预测进行了广泛的文献回顾，这两个领域与行人与车辆的应用和研究密切相关。我们确定了这些领域中存在的差距，可以加以改进/扩展/增强，或者全新开发，同时我们还提出了未来的研究目标和方法，以支持这些确定的差距的改进/发展。
