Postioning and Navigation Challenges for Connected and Autonomous Vehicles in Remote Areas

偏远地区联网自动驾驶车辆的定位和导航挑战

• 批准号: 2100599
• 金额: --
• 依托单位: University of Nottingham
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2100599
• 关键词: Postioning; Navigation; Challenges; Connected; Autonomous

This study will explore the current state of connected and autonomous vehicles (CAV) with a focus on positioning capability on rural areas. Preliminary investigation into current CAV research projects highlights a prolific focus on urban and motorway CAV testing, however it is rural populations who may have the most to gain from CAV implementation. This work will assess the need for rural tests through the identification of the challenges CAVs may face on rural roads. Investigations will cover how satellite positioning accuracy, integrity and reliability vary across urban and rural settings; how transport infrastructure, both physical and digital, varies across environments; and the impacts these have on CAV performance, user experience and trust. The findings will contribute to the healthy and full coverage of CAV deployment and standards.

这项研究将探索互联和自动驾驶汽车(CAV)的现状，重点是农村地区的定位能力。对当前CAV研究项目的初步调查突出了对城市和高速公路CAV测试的多产关注，然而农村人口可能从CAV的实施中受益最大。这项工作将通过确定骑兵在农村道路上可能面临的挑战来评估农村测试的必要性。调查将涵盖卫星定位精度、完整性和可靠性如何在城市和农村环境中变化；交通基础设施，无论是实物还是数字，如何在不同环境中变化；以及这些对CAV性能、用户体验和信任的影响。这些发现将有助于CAV部署和标准的健康和全面覆盖。