NextGen Data-Driven Timetable Performance Optimisation Tool

在大流行期间，由于服务和乘客数量减少，服务的准点率可靠性大大提高。然而，随着旅客的返乡，铁路的运行状况再次恶化。这对大流行后的行业产生了更大的影响，因为乘客对可靠和准时运行的服务的期望更高。因此，延误的增加和乘客的不满导致机票销售收入的更大下降。表现不佳在很大程度上是由于计划不周的时间表，通常在操作上无法实现或无法处理小的扰动。这是由于列车时刻表通常是通过模拟来规划的，而这种方法并不能反映列车在现实中在枢纽或车站的表现。通过多年与绩效、规划和运营团队的密切合作，我们发现，通过使用颗粒列车运行数据和机器学习技术，可以准确计算出现有时间表的实际运行情况。这将使拥有准确信息的规划者能够根据现实世界的证据做出更快、更好的规划决策。我们的时间表分析工具将自动向规划者提供与规划过程高度一致的最新见解和建议。利用轨道（轨道电路）和车队（GPS和OTMR）数据，该工具将为网络铁路和TOC团队提供综合视图。从根本上说，这个工具将导致时间表规划的速度和质量的逐步变化，从使用有限的模拟和轶事经验转向完全基于证据的方法。

During the pandemic, the on-time reliability of services significantly increased due to the reduction in the number of services and passengers.However, as passengers have returned to the railway performance has once again deteriorated. This has an even greater impact on the industry post-pandemic as passengers' expectations for services that are reliable and run on-time is even higher. Increased delays and passenger dissatisfaction therefore leads to an even greater decreased revenue from ticket sales.Poor performance is in large part due to a poorly planned timetable that is often operationally unachievable or cannot handle minor perturbations. This is due to the timetable usually being planned with simulations and the method does not in how trains performing in reality at junction or stations.Through years of working closely with performance, planning and operational teams, we've identified that by using granular train movement data and machine learning techniques, the actual performance of the existing timetable could be accurately calculated. This would enable planners with accurate information to make faster and better planning decisions that are based on real-world evidence.Our Timetable Analysis tool will deliver automatically updated insights and recommendations to planners that is highly aligned to the planning process. Utilising both on-track (track circuit) and on-fleet (GPS and OTMR) data, the tool will provide an integrated view to both Network Rail and TOC teams.Fundamentally this tool will result in a step change in the speed and quality of timetable planning, moving away from the use of limited simulations and anecdotal experience to a fully evidenced-based approach.