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Application of Big Data Approaches for Traffic Incident Management (2023)

Chapter: References and Bibliography

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Page 93
Suggested Citation:"References and Bibliography." National Academies of Sciences, Engineering, and Medicine. 2023. Application of Big Data Approaches for Traffic Incident Management. Washington, DC: The National Academies Press. doi: 10.17226/27300.
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Page 93
Page 94
Suggested Citation:"References and Bibliography." National Academies of Sciences, Engineering, and Medicine. 2023. Application of Big Data Approaches for Traffic Incident Management. Washington, DC: The National Academies Press. doi: 10.17226/27300.
×
Page 94

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93   California Department of Transportation. (2023). Caltrans Performance Measurement System (PeMS). Retrieved March 23, 2023, from https://pems.dot.ca.gov/ Carrick, G. (2023). “Improving Responder Safety through Traffic Crash Reporting.” [Video]. Washington, DC: FHWA. FHWA. (2014). All Road Network of Linear Referenced Data (ARNOLD) Reference Guide. Washington, DC: U.S. DOT. Retrieved March 23, 2023, from https://www.fhwa.dot.gov/policyinformation/hpms/documents /arnold_reference_manual_2014.pdf FHWA. (2019a). Every Day Counts Round 4 (EDC-4) Using Data to Improve Traffic Incident Management - Draft Executive Summary. FHWA. (2019b). Every Day Counts: An Innovation Partnership with States EDC-4 Final Report. Washington, DC: U.S. DOT. Retrieved March 23, 2023, from https://www.fhwa.dot.gov/innovation/everydaycounts/reports /edc4_final/ FHWA. (2021b, January 22). Highway Performance Monitoring System (HPMS). FHWA. Retrieved March 23, 2023, from https://www.fhwa.dot.gov/policyinformation/hpms.cfm FHWA. (2022, November 17). Federal Highway Administration. Operations Performance Measurement Pro- gram. Retrieved March 23, 2023, from https://ops.fhwa.dot.gov/perf_measurement/ FHWA. (2023, February 15). Performance Measures to Improve TIM. FHWA Office of Operations. Retrieved March 28, 2023, from https://ops.fhwa.dot.gov/tim/preparedness/tim/performance_measures.htm FHWA. (n.d.-a). Model Inventory of Roadway Elements. FHWA Roadway Safety Data Program. Retrieved March 23, 2023, from https://safety.fhwa.dot.gov/rsdp/mire.aspx FHWA. (n.d.-b). Weather Data Environment. FHWA. Retrieved March 23, 2023, from https://wxde.fhwa.dot.gov/ Fitzpatrick, M. (2021, April 19–22). [Unpublished presentation]. Highway Operations Center, Massachusetts Department of Transportation. Presented at the Crowdsourcing for Operations 3-day Workshop for TRANSCOM and Member Agencies. Khadka, K., & Singh, R. (2020, September 17). Polygeohasher: An Optimized Way to Create Geohashes. Geospatial World. Retrieved from https://www.geospatialworld.net/blogs/polygeohasher-an-optimized-way-to-create -geohashes/#:∼:text=Geohash%20is%20the%20encoding%20technique,level%20i.e.%201%20to%2012 NHTSA. (2017). MMUCC Guideline Model Minimum Uniform Crash Criteria, 5th ed. Washington, DC: U.S. DOT. Retrieved March 22, 2023, from https://crashstats.nhtsa.dot.gov/Api/Public/Publication/812433 NOAA. (2017, May 24). MADIS Weather Telematics Data. NCEP Central Operations. Retrieved March 24, 2023, from https://madis.ncep.noaa.gov/madis_wxtelematics.shtml NOAA. (2018, July 25). Meteorological Assimilation Data Ingest System. NCEP Central Operations, NOAA. Retrieved March 23, 2023, from https://madis.ncep.noaa.gov/# NOAA. (2021, May 8). NCEP. MADIS Surface Data. Retrieved May 8, 2021, from https://madis-data.ncep .noaa.gov/MadisSurface/ OPeNDAP. (2023). Open-source Project for a Network Data Access Protocol (OPeNDAP). [Software]. Retrieved March 23, 2023, from https://www.opendap.org/ Open Transport Partnership. (2020). SharedStreets. [Software]. Retrieved March  23, 2023, from https:// sharedstreets.io/ Owens, N. D., Armstrong, A. H., Mitchell, C., & Brewster, R. (2009). Federal Highway Administration Focus States Initiative: Traffic Incident Management Performance Measures Final Report. Washington, DC: U.S. DOT. Retrieved March 23, 2023, from https://ops.fhwa.dot.gov/publications/fhwahop10010/fhwahop10010.pdf Pecheux, K. K., & Gray, C. (2023). Advancing Analytics and Reporting of Traffic Incident Management (TIM) Data: Report on Sources of Traffic Incident Data. Washington, DC: FHWA, U.S. DOT. References and Bibliography

94 Application of Big Data Approaches for Traffic Incident Management Pecheux, K. K., Pecheux, B. B., & Carrick, G. (2019). NCHRP Research Report 904: Leveraging Big Data to Improve Traffic Incident Management. Washington, DC: Transportation Research Board. Pecheux, K. K., Pecheux, B. B., Ledbetter, G., & Lambert, C. (2020). NCHRP Research Report 952: Guide- book for Managing Data from Emerging Technologies for Transportation. Washington, DC: Transportation Research Board. University of Maryland Center for Advanced Transportation Technology. (2023). Regional Integrated Transporta- tion Information System (RITIS). Retrieved March 23, 2023, from https://ritis.org/login?r=Lw==

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Big data is evolving and maturing rapidly, and much attention has been focused on the opportunities that big data may provide state departments of transportation (DOTs) in managing their transportation networks. Using big data could help state and local transportation officials achieve system reliability and safety goals, among others. However, challenges for DOTs include how to use the data and in what situations, such as how and when to access data, identify staff resources to prepare and maintain data, or integrate data into existing or new tools for analysis.

NCHRP Research Report 1071: Application of Big Data Approaches for Traffic Incident Management, from TRB's National Cooperative Highway Research Program, applies the guidelines presented in NCHRP Research Report 904: Leveraging Big Data to Improve Traffic Incident Management to validate the feasibility and value of the big data approach for Traffic Incident Management (TIM) among transportation and other responder agencies.

Supplemental to the report are Appendix A through Appendix P, which detail findings from traditional and big data sources for the TIM use cases; a PowerPoint presentation of the research results; and an Implementation Memo.

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