performance Archives - Page 2 of 2 - Reddy Analytics Associates

Operations Improvements, Projects, automated fare collection, data analytics, operating techniques, performance, signal system, subway

Service Intervention Recommendation Engine

SIRE is a web-based real-time decision support tool for dispatchers in the Rail Control Center (RCC). It assesses the current locations and movement patterns of trains, factors in typical ridership patterns, and recommends actions dispatchers should take (e.g., holds, skips) to improve service to maximize the benefit to...

Operations Improvements, Projects, change management, data analytics, infrastructure, investment planning, journey time reduction, operating techniques, performance, signal system, statistical sampling, subway

Train Speed & Safety Task Force

The Reddy Analytics team members were instrumental in providing irrefutable evidence from signal system data that demonstrated the dramatic and immediate impact of recalibrating “grade timers” on one of the busiest rapid transit systems in the nation. At the time, there was a debate internal to the transit...

Planning & Management, Publications, automatic vehicle location, bus, performance

Customer Journey Time Metrics for New York City Bus Service using Big Data

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...

Planning & Management, Publications, performance, signal system, subway

Passenger-Centric Performance Metrics for the New York City Subway

Like many transit agencies, New York City Transit (NYCT) has long relied on operations-focused metrics to measure its performance. Although these metrics, such as capacity provided and terminal on-time performance, are useful internally to indicate the actions needed to improve service, they typically do not represent the customer...

Operations Improvements, Publications, performance, signal system, subway

Development of a Real-Time Stringlines Tool to Visualize Subway Operations and Manage Service at New York City Transit

In 2013, with real-time train arrival data becoming widely available through its general transit feed specification real-time (GTFS-RT) feed, New York City Transit (NYCT) recognized the potential for new service management tools capable of on-the-fly performance visualization and reporting. This paper describes the process taken by NYCT to...

Planning & Management, Publications, data analytics, performance, subway

Designing New York City Subways’ Key Performance Indicators to Improve Service Delivery and Operations

A balanced scorecard (BSC) is widely used in private industry and the public sector to monitor key performance indicators (KPIs) and to help achieve strategic outcomes. This concept is widely used in the transit industry for carrier regulator contractual relationships and performance monitoring. After a fact-finding mission to...

Planning & Management, Publications, automatic vehicle location, bus, performance

Development of Automated Vehicle Location (AVL) Data Based System to Improve Bus Service at New York City Transit

MTA Bus Time is an Automated Vehicle Location (AVL) system utilizing Global Positioning Systems (GPS) hardware and wireless communications technology to track real-time location of New York City buses. This paper describes the challenges and coordination required in developing a Bus Time data based analysis system to replace...

Data Analysis, Publications, data analytics, performance, subway

Measurement of Subway Service Performance at New York City Transit

A recurring challenge that faces transit managers today is the persistent question of how to do more with less: to maintain and to improve service despite deficits of historic proportions. New York City Transit (NYCT) responded by retooling performance measurement frameworks and procedures to capture the customer’s perspective...

Operations Improvements, Publications, bus, data analytics, performance, subway

Performance Measurements on Mass Transit

For all organizations, public or private, it is essential to establish measurements to ensure that the services provided are being done well and, when they are not, that the organization can diagnose problems. The mission of New York City Transit (NYCT) is to provide timely and reliable mass...

Operations Improvements, Publications, bus, data analytics, performance, subway

Passenger Environment Survey: Representing the Customer Perspective in Quality Control

The Passenger Environment Survey (PES) conducted by New York City Transit (NYCT) of the Metropolitan Transit Authority uses a quantitative and scientific approach to measure the perceptions of NYCT’s 7.3 million daily riders. With 6,485 subway cars, 4,576 buses, and 468 stations in a 321-mi² service area and...

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Service Intervention Recommendation Engine

Train Speed & Safety Task Force

Customer Journey Time Metrics for New York City Bus Service using Big Data

Passenger-Centric Performance Metrics for the New York City Subway

Development of a Real-Time Stringlines Tool to Visualize Subway Operations and Manage Service at New York City Transit

Designing New York City Subways’ Key Performance Indicators to Improve Service Delivery and Operations

Development of Automated Vehicle Location (AVL) Data Based System to Improve Bus Service at New York City Transit

Measurement of Subway Service Performance at New York City Transit

Performance Measurements on Mass Transit

Passenger Environment Survey: Representing the Customer Perspective in Quality Control

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