Like any legacy subway system that first opened in the early 1900s, the New York City subway system operates using technology that dates from many different eras. Although some of this technology may be outdated, efforts to modernize are often hindered by budgetary limits, competing priorities, and managing the tradeoff between short-term service disruptions and long-term service improvements. At New York City Transit (NYCT), the locations of all trains on all lines are not visible to any one person in any one place and, for much of the system, train locations can only be seen at field towers for the handful of interlockings in its operational jurisdiction as result of the legacy signal system, which may come as a surprise to many daily commuters or personnel at newer metros. In 2019, developers at NYCT gained full access to the legacy signal system’s underlying track circuit occupancy data and developed an algorithm to automatically track trains and match these data with schedules and manual dispatchers’ logs in real time. This data-driven solution enables real-time train identification and tracking long before a full system modernization could be completed. This information is being provided to select personnel as part of a pilot program via several different tools with the aim of improving service management and reporting.

就像任何在1900年代初首次启用的旧式地铁系统一样，纽约市的地铁系统也使用可追溯至许多不同时代的技术进行运作。尽管某些技术可能已过时，但预算限制，竞争性优先事项以及管理短期服务中断与长期服务改进之间的权衡往往会阻碍现代化的努力。在纽约市公交（NYCT）上，任何地方的任何人都看不到所有线路上所有火车的位置，并且在大部分系统中，只有少数几个联锁装置才能在现场塔台上看到火车的位置传统信号系统在其运营管辖范围内发挥了重要作用，这对于许多日常通勤者或新地铁上的人员而言可能是一个惊喜。在2019年 NYCT的开发人员可以完全访问旧信号系统的基础轨道电路占用数据，并开发了一种算法，可以自动跟踪火车，并将这些数据与时间表和手动调度员的日志进行实时匹配。这种数据驱动的解决方案使实时火车识别和跟踪早于完整的系统现代化就可以完成。该信息将通过几种不同的工具作为试点计划的一部分提供给选择人员，以改善服务管理和报告。这种数据驱动的解决方案在完成完整的系统现代化之前就可以进行实时列车识别和跟踪。该信息将通过几种不同的工具作为试点计划的一部分提供给选择人员，以改善服务管理和报告。这种数据驱动的解决方案在完成完整的系统现代化之前就可以进行实时列车识别和跟踪。该信息将通过几种不同的工具作为试点计划的一部分提供给选择人员，以改善服务管理和报告。