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Mr. Irick managed a broad range of customer-focused initiatives to improve bus service. These included partnering with the NYC Department of Transportation to improve bus speeds and service reliability by implementing Select Bus Service (SBS) Bus Rapid Transit routes and piloting Traffic Signaling Priority (TSP) technologies. Mr. Irick...
We worked to implement extensive on-board diagnostic and monitoring systems for rolling stock on behalf of a major passenger carrier in order to ensure fleet reliability and minimal cost. Prior to the implementation of WMDS systems, the carrier relied on paper reports from operating staff to track failure...
The signal system on NYC Transit’s “B” Division (with the exception of CBTC on L line) was installed in phases during the Great Depression and currently in the process of modernization and would take a few more years. All signals operated on relay logic and it was impossible...
A large transit agency’s cost of operations per passenger, per hour, and per mile was discerned to be very high. It sought to explore how practices differed from other operators. Understanding how one’s own system performs against similar peer properties is valuable in deciding on changes in transit...
The installation of an Automated Vehicle Location (AVL) system alongside existing Automated Fare Collection (AFC) data on all New York City buses spurred development of a city-wide bus passenger boarding and alighting ridership model. These advances in ridership modeling allowed for analysis of trip passenger loads and 100%...
We were tasked to examine bus lanes in New York City for differences in enforcement needs based on actual bus speed data from GPS-based automated vehicle locator (AVL) systems. In New York, bus lanes are utilized for a number of different purposes, such as hosting right turn traffic,...
We utilized bus running time data from GPS-based automated vehicle locator systems to identify locations where average bus speeds were the lowest in regular service. The average bus speeds in general on this public transport system were trending downward, but the understanding of the reasons behind the delays...
As data collection for public transportation improves and customers’ appetite for information grows, there has been a growing interest in performance measurement systems that better reflect customer experience and quantify the impacts of service while accounting for ridership. A fair amount of research has been dedicated to developing...
The installation of an Automatic Vehicle Location (AVL) system alongside existing Automated Fare Collection (AFC) data spurred development of an inferred bus boarding and alighting ridership model at New York City Transit (NYCT), allowing for 100% passenger origin-destination (O-D) data citywide. Analysis techniques that relied primarily on professional...
To support bus service scheduling and planning, New York City Transit (NYCT) put into production a ridership application to determine surface transit boarding and alighting locations for each of approximately 2.8 million daily passenger trips on 218 bus routes. The application combined data from an automated vehicle location...
