全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

A Nationwide Evaluation of the State of Practice of Performance Measurements for Intelligent Transportation Systems

DOI: 10.4236/jtts.2023.132011, PP. 222-242

Keywords: Intelligent Transportation Systems, ITS, Performance Measures, ITS Architecture, ARC-IT, Qualitative Survey, Evaluation, Nationwide

Full-Text   Cite this paper   Add to My Lib

Abstract:

State departments of transportation’s (DOTs) decisions to invest resources to expand or implement intelligent transportation systems (ITS) programs or even retire existing infrastructure need to be based on performance evaluations. Nonetheless, an apparent gap exists between the need for ITS performance measurements and the actual implementation. The evidence available points to challenges in the ITS performance measurement processes. This paper evaluated the state of practice of performance measurement for ITS across the US and provided insights. A comprehensive literature review assessed the use of performance measures by DOTs for monitoring implemented ITS programs. Based on the gaps identified through the literature review, a nationwide qualitative survey was used to gather insights from key stakeholders on the subject matter and presented in this paper. From the data gathered, performance measurement of ITS is fairly integrated into ITS programs by DOTs, with most agencies considering the process beneficial. There, however, exist reasons that prevent agencies from measuring ITS performance to greater detail and quality. These include lack of data, fragmented or incomparable data formats, the complexity of the endeavor, lack of data scientists, and difficulty assigning responsibilities when inter-agency collaboration is required. Additionally, DOTs do not benchmark or compare their ITS performance with others for reasons that include lack of data, lack of guidance or best practices, and incomparable data formats. This paper is relevant as it provides insights expected to guide DOTs and other agencies in developing or reevaluating their ITS performance measurement processes.

References

[1]  Grant, M., Bauer, J., Plaskon, T. and Mason, J. (2010) Advancing Metropolitan Planning for Operations: An Objectives-Driven, Performance-Based Approach. A Guidebook. United States Department of Transportation, FHWA. National Operations Center of Excellence, February. FHWA-HOP-10-026.
[2]  U.S. Department of Transportation (2015, April 3) Moving Ahead for Progress in the 21st Century Act (MAP-21).
https://www.transportation.gov/map21
[3]  U.S. Department of Transportation (2015, December 4) The Fixing America’s Surface Transportation Act or “FAST Act”.
https://www.transportation.gov/fastact
[4]  Grant, M., D’Ignazio, J., Bond, A. and McKeeman, A. (2013) Performance Based Planning and Programming Guidebook. ICF International, Inc. United States Department of Transportation, FHWA-HEP-13-041.
[5]  Clark, J., Neuner, M., Sethi, S., et al. (2017) Transportation Systems Management and Action. FHWA-HOP-17-025. FHWA. U.S. Department of Transportation.
[6]  United States Department of Transportation. Architecture Reference for Cooperative and Intelligent Transportation.
https://local.iteris.com/arc-it
[7]  American Association of State Highway and Transportation Officials (AASHTO). AASHTO Committee on Transportation System Operations.
https://systemoperations.transportation.org/membership
[8]  Gresham Smith and Partners. Alabama Department of Transportation (2015) Intelligent Transportation Systems Strategic Business Plan.
[9]  California Department of Transportation (Caltrans) (2015, March) Strategic Management Plan 2015-2020.
https://dot.ca.gov/-/media/dot-media/programs/sustainability/documents/caltrans-strategic-mgmt-plan-033015-a11y.pdf
[10]  Minnesota Department of Transportation (MnDOT). Minnesota Statewide Regional ITS Architecture, Version 2018. Overview Volume, December 2018.
https://www.dot.state.mn.us/its/projects/2016-2020/itsarchitecture/overview-volume.pdf
[11]  New Jersey Department of Transportation. Division of Statewide Traffic Operations. New Jersey Statewide ITS Architecture—Final Report, February 18, 2005.
https://www.nj.gov/transportation/eng/elec/ITS/pdf/ITS_Architecture_v1.01.pdf
[12]  Gresham Smith and Partners. Alabama Department of Transportation (2014) Alabama Statewide ITS Architecture, Final Report.
[13]  Florida Department of Transportation (FDOT) (2020) Florida Statewide ITS Architecture.
https://teo.fdot.gov/architecture/architectures/statewide/index.html
[14]  Florida Department of Transportation (FDOT), State Traffic Engineering and Operations Office (2016) Statewide Intelligent Transportation Systems Performance Measures, Annual Report Fiscal Year 2015/2016.
[15]  Iowa Department of Transportation. Intelligent Transportation Systems (ITS) and Communications Systems Service Layer Plan, January 2018.
https://iowadot.gov/TSMO/ServiceLayerPlan3.pdf
[16]  Iowa Department of Transportation. Transportation Systems Management and Operations (TSMO) Strategic Plan. February 2016.
https://iowadot.gov/TSMO/TSMO-Strategic-Plan.pdf?ver=2016-05-02-113238-673
[17]  Minnesota Department of Transportation (MnDOT). Minnesota Statewide Regional ITS Architecture, Version 2018. Implementation Volume: ITS Initiatives and Project Concepts for Implementation, December 2018.
http://www.dot.state.mn.us/its/projects/2016-2020/itsarchitecture/implementation-volume.pdf
[18]  United States Department of Transportation. The National ITS Reference Architecture (ARC-IT Version 9.0).
https://local.iteris.com/arc-it/html/archuse/archuse.html
[19]  United States Department of Transportation (USDOT). The National ITS Reference Architecture (ARC-IT Version 9.0).
https://local.iteris.com/arc-it/html/archuse/objective231.html
[20]  National Academies of Sciences, Engineering, and Medicine (2010) Measuring Transportation Network Performance. The National Academies Press, Washington DC.
[21]  Ullman G.L., Lomax, T.J. and Scriba, T. (2011, September) A Primer on Work Zone Safety and Mobility Performance Measurement. Texas Transportation Institute. USDOT. FHWA. FHWA-HOP-11-033.
https://ops.fhwa.dot.gov/wz/resources/publications/fhwahop11033/fhwahop11033.pdf
[22]  Zimmerman, B., Scriba, T., Matthews, K., et al. (2010, October) Scan 08-04. Best Practices in Work Zone Assessment, Data Collection, and Performance Evaluation.
http://onlinepubs.trb.org/onlinepubs/nchrp/docs/NCHRP20-68A_08-04.pdf
[23]  Federal Highway Authority (FHWA) (2012, October) 2012 Traffic Incident Management National Analysis Report Executive Summary.
https://ops.fhwa.dot.gov/eto_tim_pse/docs/timsa12/tim_sa_2012.pdf
[24]  NCHRP, Applied Engineering Management Corp. and Texas A&M Transportation Institute. NCHRP 07-20—Guidance for Implementing Traffic Incident Management Performance Measurement.
http://nchrptimpm.timnetwork.org/?page_id=884
[25]  Worth, P., Bauer, J., Grant, M., et al. (2010) Desk Reference: Advancing Metropolitan Planning for Operations. The Building Blocks of a Model Transportation Plan Incorporating Operations. USDOT. FHWA. FHWA-HOP-10-027.

Full-Text

Contact Us

[email protected]

QQ:3279437679

WhatsApp +8615387084133