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

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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 [Unpublished presentation].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==