This monograph is a synthesis of research carried out on traffic signal performance measures based on high-resolution controller event data, assembled into a methodology for performance evaluation of traffic signal systems. High-resolution data consist of a log of discrete events such as changes in detector and signal phase states. A discussion is provided on the collection and management of the signal event data and on the necessary infrastructure to collect these data. A portfolio of performance measures is then presented, focusing on several different topics under the umbrella of traffic signal systems operation. System maintenance and asset management is one focus. Another focus is signal operations, considered from the perspectives of vehicle capacity allocation and vehicle progression. Performance measures are also presented for nonvehicle modes, including pedestrians, and modes that require signal preemption and priority features. Finally, the use of travel time data is demonstrated for evaluating system operations and assessing the impact of signal retiming activities.

The Indiana Department of Transportation (INDOT) is responsible for the construction and maintenance of approximately 11,000 centerline miles of state roads, US routes and interstates. Mowing operations along the state rights-of-way to manage vegetation consume considerable resources. Mowing activities are usually reported by daily work orders and it is difficult to obtain quantitative information characterizing the utilization and productivity of the mowing operations.This research uses telematics data from commercial sensors to track the daily activity of seven mowers in the Fort Wayne district. Weather data from NOAA was also captured to estimate the weather related delays. During a one-month period, the mowers collectively covered a total of around 1170 miles and an area of nearly 1800 acres of mowing. Crews worked alternative work schedules with extended hours four days a week. On an average 9.5 hour work day approximately 50% of the time is spent actively mowing. The simple telematics based metrics and visualization graphics proposed in this paper can be used by agencies to evaluate the efficiency of their mowing operations to provide guidance on resource allocation, scheduling, and comparison with alternative contract agencies as they provide a concise way of communicating to stakeholders the overall efficiency of the mowing mowing. The proposed utilization graphics may be of particular interest to operations and can be used to identify opportunities for efficiency improvements.

State agencies have implemented weigh-in-motion (WIM) sensors for years to assess and monitor various aspects of highway commercial motor vehicle traffic. This study analyzes 3.5 years of WIM data from 33 WIM sites provided by the Indiana Department of Transportation (INDOT) and compares systematic procedures to identify WIM locations with measurement errors. The following areas are examined: WIM accuracy and precision, class 9 front axle weight, left-right front axle residual, and impact of pavement smoothing on WIM performance. The statistical distribution of Class 9 truck's front axle weight as a performance metric is suggested for automated online software. This study also assessed the accuracy and precision of two WIM sites by direct comparison with weight data obtained at Indiana State Police certified weigh scales. A 5 month study on I-94 collected 564 static weights and found that 98% of the WIM weights were within ± 5% of the static weights. A second study on I-70 collected 262 static weights and found that 87% of the WIM weights were within ± 5% of the static weights after statistical adjustment.

The 2013-2014 Indiana Mobility Report: Full Version examines the mobility performance of Indiana's state highway system. Minute-by-minute crowdsourced probe vehicle speed data and vehicle volume data were used to develop performance measures that identify, quantify, and visualize the location and duration of congestion on Indiana Interstates. The report presents overall system performance, including a monthly overview covering January 2011 through June 2014 as well as selected highlights of significant projects. In addition to the Interstate system, the report characterizes selected high-priority arterial corridors to rank their mobility performance in terms of travel time and travel time reliability.

Management of traffic signal systems is a critical function for every transportation agency. Thanks to advancements in technology, it is now possible to collect large amounts of data at signalized intersections, leading to the development of dozens of performance measures. The TRB National Cooperative Highway Research Program's pre-publication draft of NCHRP Research Report 954: Performance-Based Management of Traffic Signals provides information to help agencies invest in signal performance measures as part of a comprehensive approach to performance-based management. Supplementary materials to the report include a data dictionary and a PowerPoint presentation.

The Indiana Mobility Report collection on Purdue e-Pubs (http://docs.lib.purdue.edu/imr/) was established as a repository for annual mobility reports jointly produced by INDOT and Purdue University. The tools and data described in the annual reports provide a quantitative evaluation of how the Indiana highway system is performing, where opportunities lie for future infrastructure investments, and assessment of mobility when new infrastructure investments are completed.