Connector

大剑桥地区在国际范围内取得了增长和成功，但高通勤需求导致了拥堵和空气质量差的问题。剑桥自动驾驶汽车战略详细介绍了使用自动驾驶汽车解决这些问题的机会。Project Connector将进行按需自动驾驶汽车的大规模试验，最多可使用13辆电动汽车提供乘客服务，与剑桥内现有的交通服务相结合。服务将在两个有确定机会的地点运营：剑桥大学的西剑桥校区和剑桥生物医学校区。自动驾驶汽车将利用5G连接的远程监控和远程操作服务，有效的部署，确保通过临时覆盖车辆自动化来适应复杂的边缘情况。计划使用三款电动车型，起亚EV 9和梅洛尔西格玛7和8。车队将包括2个轮椅无障碍版本，确保提供包容性服务。Conigital的升降式自动驾驶平台将与这些车辆集成，以提供现有的功能，并进一步增强这些功能，以支持远程操作支持。系统验证和验证最初将在模拟环境中使用一套边缘案例进行。将对无车载操作员的L4车辆的测试方法进行具体研究，并在测试轨道上完成系统验证。将由一个独立机构准备安全案例，以确保进行客观评估。为期12个月的试验将分阶段进行，最初由工程师提供车载监督，迁移到经过培训的操作员，并在最后阶段达到高潮，只有远程操作员（即在符合法例规定的情况下，无须进行车上监督）。该项目的关键是与运输营办商合作：提供由运营商与运营商员工和管理层运营的自动驾驶服务，该项目的一个主要目标是评估商业可行性和运营自助驾驶客运服务作为一种交通模式，与更广泛的交通生态，系统。将现有的运输运营商纳入项目运营商和相关的知识转让，将为所有项目合作伙伴提供重要的见解，并提供在项目之后继续以商业方式运营服务的机会。将邀请主要外部利益相关者参与，以确保相关见解共享，以帮助确定未来的战略和监管，并帮助加快其他地方的类似部署。

The Greater Cambridge region has achieved growth and success on an international scale, but high commuter demand has led to issues of congestion and poor air quality. The Cambridge Autonomous Vehicle strategy details opportunities to use AVs to tackle these problems.Project Connector will undertake an at-scale trial of on-demand self-driving vehicles with up to 13 electric vehicles providing passenger services that integrate with existing transport services within Cambridge.Services will operate on two sites where there are identified opportunities: The University of Cambridge's West Cambridge Campus and the Cambridge Biomedical Campus.Self-driving vehicles will leverage a 5G connected Remote Monitoring and Tele-Operation service to enable a cost-effective deployment that ensures complicated edge cases can be accommodated through temporary override of vehicle automation.Three electric vehicle models are planned for use, the Kia EV9 and the Mellor Sigma 7 & 8. The fleet will include 2 wheelchair accessible versions ensuring an inclusive service provision. Conigital's lift-and-shift self-driving platform will be integrated with these vehicles to provide existing functionality that will be further enhanced to allow operation with remote operations support.System validation and verification will be undertaken initially in a simulation environment using a suite of edge cases. Specific research will be undertaken in testing methodologies for L4 vehicles with no-onboard operator and system validation will be completed at the test-track.A safety case will be prepared by an independent organisation to ensure an objective assessment is undertaken.The 12-month trial will be undertaken in a phased manner, initially with engineers providing on-board supervision, migrating to trained operators and culminating in a final phase with only remote operators (i.e. no on-board supervision, subject to legislation).Key to the project is engagement with transport operators: providing a self-driving service run by operators with operator staff and management, ticketing and payment mechanisms.A key objective of the project is to assess the commercial viability and challenges in operating self-driving passenger services as a transport mode that integrates with the wider transport eco-system.The inclusion of existing transport operators as the project operator and associated knowledge transfer will offer critical insights between all the project partners and provide an opportunity to continue service operations beyond the project on a commercial basis.Key external stakeholders will be engaged to ensure relevant insights are shared to help define future strategy and regulation and help accelerate similar deployments elsewhere.