Integrating Traffic Signal Performance Measures into Agency Business Processes

Abstract

Federal Highway Administration Office of Operations and Resource Center. Some material in this monograph was compiled from previous studies that were made possible under National Cooperative Highway Research Program project 3-79a, INDOT State Planning and Research (SPR) projects, Indiana LTAP projects, and USDOT through Small Business Innovation Research (SBIR) projects with Traffax, Inc., and through a joint research project with Marshall University. We would like to thank Rick Schuman and colleagues at Inrix, Inc., for provision of sample vehicle trajectory data in Chapter 7. We are grateful to these sponsors and research partners for their support over the years.The contents of this paper reflect the views of the authors, who are responsible for the facts and the accuracy of the data presented herein, and do not necessarily reflect the official views or policies of the sponsoring organizations. These contents do not constitute a standard, specification, or regulation. CopyrightCopyright 2015 by Purdue University. All rights reserved.Print ISBN: 978-1-62260-376-3 ePUB ISBN: 978-1-62260-377-0 ABSTRACT INTEGRATING TRAFFIC SIGNAL PERFORMANCE MEASURES INTO AGENCY BUSINESS PROCESSESThis report discusses uses of and requirements for performance measures in traffic signal systems facilitated by high-resolution controller event data. Uses of external travel time measurements are also discussed. The discussion is led by a high-level synthesis of the systems engineering concepts for traffic signal control, considering technical and nontechnical aspects of the problem. This is followed by a presentation of the requirements for implementing data collection and processing of the data into signal performance measures. The remaining portion of the report uses an example-oriented approach to show a variety of uses of performance measures for communication and detector system health, quality of local control (including capacity allocation, safety, pedestrian performance, preemption, and advanced control analysis), and quality of progression (including evaluation and optimization).

Platoon Priority Visualization Modeling and Optimization for Signal Coordination in the Connected Vehicle Environment

“…A Bi-PCD is proposed to extend the scope of the existing PCD (16)(17)(18)(19)22) and its variants (2, 12-15, 20, 21).…”

“…Compared with the existing works (2,(12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22), more practical and emerged variables are covered in the proposed Bi-PCD. In addition, a new probabilistic surrogate quantification combined with an offset optimization is proposed to improve coordination performances.…”

Using Stochastic Variation of Cyclic Green Distributions to Populate SAE J2735 Message Confidence Values along a Signalized Corridor

“…With advancements in high-resolution signal controller data (12), practitioners can make use of vehicle detection and phase timing data to generate cyclic profiles of both flow and distribution of green time over a time of day ( 6 ). These performance metrics are critical in improving progression and providing agency feedback on system operation ( 7 ). This paper considers the current SAE J2735 SPaT definitions and proposes a methodology for populating the confidence codes from the stochastic distributions of the cyclic green profiles.…”

“…Applications such as eco-driving and dilemma zone protection require precise information about a signal’s phase status. However, unlike fixed-time signals, modern actuated traffic signal controllers adjust to changing traffic conditions based on vehicle and pedestrian sensor actuation, so the start and end of green can vary by many seconds (if not tens of seconds) in each cycle depending on time-of-day conditions and stochastic arrivals of other vehicles ( 6 , 7 ). Although these systems provide very efficient real-time allocation of green time to vehicle and pedestrians, this lack of deterministic operation requires a careful definition of the confidence that a traffic signal indication will or will not change as a vehicle approaches a traffic signal.…”

Impact of Detector Configuration on Performance Measurement and Signal Operations

“…Modern traffic signal systems are capable of generating high-resolution data with a time resolution of tenth of a second or smaller ( 1 ). These data have been used extensively to develop various performance measures that can be employed to assess several different aspects of signal performance, including maintenance and operational issues ( 2 – 4 ). These have been bundled together under both open-source and commercial software packages as automated traffic signal performance measures (ATSPMs).…”