COUNTER: Computing train Occupants Using Novel sensing Techniques to Enhance Rail services.

柜台：使用新颖的传感技术计算列车乘客的数量，以增强铁路服务。

• 批准号: 133501
• 金额: $ 47.75万
• 依托单位: BLOCK DOX LIMITED
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2018
• 资助国家: 英国
• 起止时间: 2018 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=133501
• 关键词: COUNTER; Computing; train; Occupants; Using

**CONTEXT**: Understanding realtime passenger rail service use is crucial, because overcrowded rail services (annually published as Passengers in excess of capacity, with maximum allowable PiXC of 4.5%) lead to more delays, increased risk of accidents, reduced passenger comfort (highest load measured was 184%, DFT 2012) and decreased passenger satisfaction (National Rail Passenger Survey (NPRS); Transport Focus, 2014) requiring train operators to invest in remedial measures, whilst underutilised services are not cost effective. Knowledge of passenger loading diversity by rail operators is not comprehensive, so services are provided on data collected: at route or network-level not station-level (insufficiently disaggregated); in discrete time episodes rather than continuously (incomplete); based on studies undertaken several years previously (out of date). Historically, the difficulties and expense of collecting and analysing high volumes of good quality data made such management decisions understandable. Recent developments in sensor and information communication technologies mean they are not justifiable today.**NEED**: COUNTER has implications for all types of routine, incidental and disrupted rail travel: crowding penalties (MOIRA2; PiXC), delays (Public Performance Measure), optimising boarding/alighting times, journey suppression, insufficient capacity, customer satisfaction, on-board experience, revenues, congestion, timetabling, train/station design, operational cost reduction, health and safety, pollution, energy saving and facilities management. Accurate intelligence about passenger flows/demand is critical for Intelligent Trains. Despite being the primary challenge facing all train operators obtaining a precise and reliable measurement of real time passenger demand remains difficult based on current techniques, e.g. video imaging/weight sensors. Impact: train demand inefficiently managed.**INNOVATION**: COUNTER offers a platform interoperable with existing Train Management Systems, combining a patent-pending sensor fusion method using wifi fingerprinting and lo-fi infrared sensors with machine learning algorithms to deliver an accurate assessment of real time and predictive passenger counting/flow.**OUTCOME**: COUNTER will generate predicted revenue of £118M within 5 years of launch, along with new jobs and generation of new knowledge with wider applications including all mass transit systems and building management. UK-wide, it will cut delays due to boarding and alighting by 10% (worth ~£5.5m per annum); reduce station and platform accidents by 10% -- i.e. ~ 700 passenger injuries a year; cut rail customer dissatisfaction levels by 10%; attract 0.8% more passengers to UK rail network from higher service quality -- i.e. £75m per revenue per annum; increase revenue from station/platform and train advertising by better qualifying eyeballs/impressions and dynamically trade advertising space (worth ~£160m per annum). **Keywords**: _Sensors, Footfall, Network Capacity_.

**上下文**：了解铁路客运服务的实时使用情况至关重要，因为过度拥挤的铁路服务（每年发布的数据为乘客超过容量，最大允许PiXC为4.5%）会导致更多的延误，增加事故风险，降低乘客舒适度（最高载客量为184%，DFT 2012）和降低乘客满意度(全国铁路客运调查（NPRS）；Transport Focus, 2014)要求列车运营商投资于补救措施，而未充分利用的服务并不具有成本效益。铁路运营商对乘客载客量多样性的了解并不全面，因此提供服务的数据收集：在路线或网络层面，而不是站层面（分类不够）；在离散的时间片断中而不是连续的（不完整的）；基于几年前进行的研究（已过时）。从历史上看，收集和分析大量高质量数据的困难和费用使得这种管理决策可以理解。传感器和信息通信技术的最新发展意味着它们在今天是不合理的。**需要**:COUNTER对所有类型的常规、偶然和中断的铁路旅行都有影响：拥挤处罚（MOIRA2; PiXC）、延误（公共绩效衡量）、优化上下车时间、行程抑制、容量不足、客户满意度、机上体验、收入、拥堵、时间表、火车/车站设计、运营成本降低、健康和安全、污染、节能和设施管理。准确的客流/需求信息对智能列车至关重要。尽管这是所有列车运营商面临的主要挑战，但基于当前的技术，如视频成像/重量传感器，获得精确可靠的实时乘客需求测量仍然很困难。影响：列车需求管理效率低下。**创新**:COUNTER提供了一个与现有列车管理系统可互操作的平台，将正在申请专利的传感器融合方法与机器学习算法相结合，使用wifi指纹识别和低保真红外传感器，提供实时和预测乘客计数/流量的准确评估。**成果**:COUNTER预计将在5年内产生1.18亿英镑的收入，同时带来新的就业机会和新知识的产生，其应用范围更广泛，包括所有公共交通系统和建筑管理。在英国范围内，它将减少10%的因登机和下车而造成的延误（每年价值约550万英镑）；将车站和月台事故减少10%，即每年约700名乘客受伤；铁路客户不满程度降低10%；通过更高的服务质量，为英国铁路网络吸引0.8%的乘客，即每年收入7500万英镑；通过更合格的眼球/印象和动态交易广告空间（每年价值约1.6亿英镑），增加车站/平台和火车广告的收入。关键词：传感器，流量，网络容量。