
The National Cooperative Highway Research Program (NCHRP) of the Transportation Research Board (TRB), in partnership with the American Association of State Highway and Transportation Officials (AASHTO) and under a cooperative agreement with the Federal Highway Administration (FHWA), is preparing this synthesis on practices on planning, management, operation, and maintenance of automated traffic signal performances measures (ATSPMs).
The purpose of this survey is to identify, document, and summarize practices used by state DOTs on planning, management, operation, and maintenance of ATSPMs. The results of this survey will be incorporated into a synthesis, with the intent of helping agencies evaluate and improve their current traffic signal performance management using ATSPMs.
Typically, staff within the traffic signal systems, ITS, or traffic engineering departments would be appropriate to fill out this survey as the survey includes detailed questions related to ATSPM practices. We realize that ATSPM management may be shared across various offices in your state DOT. Therefore, you may consider seeking additional guidance from colleagues in completing this survey. If you are not the appropriate person to complete this survey, please forward it to the appropriate person within your state DOT. If your state DOT does not own, operate, or maintain ATSPMs, logic embedded in the survey will trigger a different set of questions relevant for your practices.
This survey seeks to synthesize the practices on planning, management, operation, and maintenance of automated traffic signal performances measures (ATSPMs). For the purpose of this survey, please consider the following definitions.
Traditional Automated Traffic Signal Performance Measures: Platforms to evaluate effectiveness and efficiency of traffic signal operations in an ongoing fashion based on high-resolution signal controller and detector data. These platforms typically include UDOTʼs open-source or vendor-provided platforms.
Crowdsourced Traffic Signal Performance Measures: Unlike traditional ATSPMs, crowdsource-based ATSPMs are not exclusively based on high-resolution signal controller and detector data. Emerging datasets such as probe, connected vehicle (CV), and other data from moving detectors have lately been used by agencies to develop signal performance measures.
Please answer the following questions.
This section aims to document the way that state DOTs operate in relation to traffic signal ownership, operation, and the way ATSPMs fit into this structure.
2a. Follow-up (if the answer to Q2 is “Yes”): If your state DOT owns traffic signals, which of the following is your state DOT responsible for? (Select all that apply)
2b. Follow-up (if the answer to Q2 is “No”): Does your state DOT have any of the following responsibilities? (Select all that apply)
5a. Optional Follow-up (if the answer to Q5 is different from “Full ATSPM deployment”): Please select the most relevant reasons why ATSPMs are not fully implemented in your state DOT. (Select all that apply)
5b. Follow-up (if the answer to Q4 is “Crowdsourced ATSPMs or both traditional and crowdsource-based systems”). Which scenario best describes the current state of crowdsource-based ATSPM deployment at your DOT?
5c. Optional Follow-up (if the answer to Q5b is different from “Full ATSPM deployment”): Please select the most relevant reasons why crowdsource-based ATSPMs are not fully implemented in your state DOT. (Select all that apply)

The column headers of the table are solutions and the year when deployment was initiated. The data given in the table row-wise are as follows: Row 1: Utah DOT’s open-source platform; Blank. Row 2: Iteris clear guide signal performance measures (SPM); Blank. Row 3: Kimely-horn traction SPM; Blank. Row 4: Miovision (Traff Op); Blank. Row 5: Econolite centracs SPM; Blank. Row 6: Intelight Maxview or Q FREE kinetics signals or mobility; Blank. Row 7: Cubic (Traffic ware) SPM; Blank. Row 8: Parsons iNET; Blank. Row 9: Siemens or Yu traffic; Blank. Row 10: INRIX signal analytics; Blank. Row 11: Flow labs; Blanks. Row 12: No traffic ATSPMs solution; Blank. Row 13: Swarco mycity SPM; Blank. Row 14: Other (please specify); Blank.
9a. Optional follow-up (if the answer to Q9 is different from “None”): Are ATSPMs integrated with these traffic signal monitoring platforms?
10a. Follow-up (if the answer to Q4 is “Crowdsource-based ATSPMs or both traditional and crowdsource-based systems”): How many traffic signals are currently equipped with crowdsource-based ATSPMs in your state DOT?
The following sections will only show up if state DOT indicated that it uses ATSPMs.
Captures funding sources, strategies, and return on investment (ROI) evaluation for ATSPM systems.
16a. Optional follow-up (if the answer to Q16 is “Yes”): Please select the approach that your DOT uses to estimate ROI:
This section seeks to determine staff capabilities, operational challenges, and institutional aspects related to ATSPMs.
17a. Optional follow-up (if the answer to Q17 is “Limited capability”): What are the specific challenges you face in terms of staff resources for ATSPM management? (open-ended)
19a. Follow-up (if the answer to Q19 is different from “None dedicated specifically to ATSPMs”): Has the implementation of ATSPMs led your DOT to adjust staffing levels or the amount of effort spent on operating and maintaining signals?
Focuses on how ATSPMs are used in practice for signal planning, optimization, monitoring, maintenance, and performance measurement.
23a. Follow-up (if the answer to Q4 is “Crowdsource-based ATSPMs or both traditional and crowdsource-based systems”): How frequently does your DOT review crowdsource-based ATSPMs data for (potential) signal timing adjustments?
27a. Follow-up (if the answer to Q4 is “Crowdsource-based ATSPMs or both traditional and crowdsource-based systems”): How does your DOT use crowdsource-based ATSPMs data to monitor signal performance at different spatial levels? (Select all that apply)
Focuses on the technology infrastructure supporting ATSPMs and security concerns.
32a. Follow-up (if the answer to Q32 is different than “We donʼt have a data-retention policy”): What is the basis for your DOTʼs data-retention policy? (Select all that apply)
For additional insights and qualitative feedback.