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

本研究将探讨联网和自动驾驶汽车（CAV）的现状，重点关注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，但是农村人口可能从CAV实施中获益最多。这项工作将通过确定CAV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的准确性，完整性和可靠性如何在城市和农村环境中变化;物理和数字交通基础设施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。研究结果将有助于CAV部署和标准的健康和全面覆盖。

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.