Solihul & Coventry Automated Links Evolution (SCALE)

为了使自动驾驶汽车在商业上可行，并抵消当前的技术和驾驶员成本，它们必须尽可能高效地运行。因此，该项目提出了一种多区域、多应用的自动驾驶操作，以基于5g的中央远程监控远程操作（RMTO）系统为基础。我们将运营一个由13辆自动驾驶汽车组成的混合车队，在索利赫尔火车站和伯明翰商业园区之间，以及考文垂火车站和考文垂大学校园之间运送乘客。这些路线有一个已知的、当前的替代交通需求，并为开发商业自动驾驶解决方案提供了理想的平台。为了最大限度地提高效率，并提高商业化的机会，考文垂的运营将在非高峰时段使用相同的车辆来投递当地大学的邮件和包裹。为了实现这个雄心勃勃的项目，该联盟包括技术组织、学术界、运输当局、保险公司、地方议会和行业专家。中央RMTO将监控舰队，并确保可以远程克服困难情况。自动驾驶车辆将使用一种通用的自动驾驶解决方案，包括：*升降和换车自动化堆栈，*先进的资产管理系统，*移动即服务（MaaS）应用程序。自动驾驶平台将增强到L4功能，目的是利用RMTO从车辆中移除车载主管。将进行广泛的核查和确认；包括：*模拟环境的演变*边缘案例的利用，以提高自动驾驶性能*具体的RMTO操作考虑因素和最低风险演习*深入的安全评估基于操作，没有船上操作员。该项目将在两个地点进行扩展的分阶段试验：*第一阶段——船上的工程师主管*第二阶段——船上的培训主管*第三阶段——只有RMTO。该项目将演示并进一步发展对以下方面的理解：*商业自动驾驶运营的可行性，以及中央RMTO、共享车队和多应用方面对商业案例的影响*此类服务的乘客价值和定价组成部分*持续的运营实践，包括保险、维修和维护；车队所有权和服务运营* L4系统的验证和验证*人为因素和远程辅助和驱动的开发项目的核心产出将是：*分阶段的试验和运营*在全国其他地区将此类服务商业化的明确路线的商业案例财团的理想意图是证明商业可行性，并在项目结束后继续提供商业运营服务，为索利赫尔和考文垂提供服务。在英国其他地方提供类似的服务。

To make self-driving vehicle operations commercially viable, and offset current technology and driver costs, they must operate as efficiently as possible. This project therefore proposes a multi-area, multi-application self-driving operation, underpinned by a 5G-based, central, Remote Monitoring Teleoperation (RMTO) system.We will operate a mixed fleet of 13 self-driving vehicles, moving passengers between Solihull rail station and Birmingham Business Park, and between Coventry rail station and Coventry University campus. These routes have a known, current, need for alternative transport and offer an ideal platform from which to develop commercial self-driving solutions. To maximise efficiency, and improve commercialisation opportunity, the Coventry operation will utilise the same vehicles at off-peak to make local University mail and parcel deliveries.To deliver this ambitious project, the consortium includes technology organisations, academia, transport authorities, insurance companies, local councils, and industry specialists.The central RMTO will monitor the fleet and ensure difficult situations can be remotely overcome.The self-driving vehicles will use a common self-driving solution including:* A lift-and-shift vehicle automation stack,* An advanced asset management system,* A Mobility as a Service (MaaS) app.The self-driving platform will be enhanced to a L4 capability with the intention to remove the on-board supervisor from the vehicle - leveraging the RMTO.Extensive verification and validation will be undertaken, including:* Evolution of simulation environment* Edge-case utilisation to enhance AV performance* Specific RMTO operational considerations and minimum risk manoeuvres* In-depth safety assessment based on operations without on-board operator(s)The project will have an extended phased trial across both locations:* Phase 1 -- engineer supervisors on board* Phase 2 -- trained supervisors on board* Phase 3 -- RMTO-onlyThe project will demonstrate and further develop an understanding of:* Commercial viability of self-driving operations, and the influence that central RMTO, shared fleets, and multi-application aspects have on the business case* Passenger value and pricing components of such services* Ongoing operational practices, including insurances, repair and maintenance, fleet ownership and service operation* Verification and validation of L4 systems* Human factors and development of remote assistance and drivingCore outputs from the project will be:* Phased trials and operation* Business case with a clear route to commercialisation of such services in other parts of the countryThe ideal intention of the consortium is to demonstrate commercial viability and continue the services beyond the project as commercial operations, serving Solihull and Coventry, with a route to delivering similar services elsewhere in the UK.