The Dot, the Map and the Route
In short: How satellite positioning, the digital road map and the routing engine each do a separate job, and how traffic measurement and network-aware routing shape the journey.
A 2:05 short film in the series “How Things Work”, narrated by intellect_voice_01.
Sources used in this film: NOAA National Ocean Service (U.S. National Oceanic and Atmospheric Administration), “The Global Positioning System: Global Positioning Tutorial”; NASA (National Aeronautics and Space Administration), “GPS - NASA”; Bureau of Transportation Statistics (U.S. Department of Transportation), “Probe Data and Transportation Statistics | Bureau of Transportation Statistics”; European Space Agency (ESA), “Dual-frequency smartphone app winners prove power of two”; Springer Nature (Data Science for Transportation journal), “Impact of navigation apps on congestion and spread dynamics on a transportation network - Data Science for Transportation”; Nature Cities (Springer Nature), “Urban congestion relief experiments through routing-app interventions - Nature Cities”; National Coordination Office for Space-Based Positioning, Navigation, and Timing (U.S. Government, GPS.gov), “Educational_Poster.pdf”; GPS.gov (U.S. government; activity material developed by the National Oceanic and Atmospheric Administration, NOAA), “Trilateration | GPS.gov”; European Space Agency (ESA), Navipedia, GNSS Science Support Centre; article by J. Sanz Subirana, J.M. Juan Zornoza and M. Hernández-Pajares, Technical University of Catalonia, 2011, “GNSS Measurements Modelling - Navipedia”; European Space Agency (ESA) – Navipedia (article edited by GMV), “GNSS Receivers General Introduction - Navipedia”; OpenStreetMap Wiki (OpenStreetMap community documentation), “Elements - OpenStreetMap Wiki”; arXiv (Cornell University); survey by Hannah Bast, Daniel Delling, Andrew Goldberg, Matthias Müller-Hannemann, Thomas Pajor, Peter Sanders, Dorothea Wagner, Renato F. Werneck, “Route Planning in Transportation Networks”; Universität Karlsruhe (TH) / Karlsruhe Institute of Technology: Geisberger, Sanders, Schultes and Delling, 'Contraction Hierarchies: Faster and Simpler Hierarchical Routing in Road Networks', “contract.pdf”; European Space Agency (ESA), Navipedia; article authored by GMV, “TTFF - Navipedia”; European Space Agency (ESA), Navipedia (article edited by GMV), “Receiver Operations - Navipedia”; Microsoft Research (paper by Paul Newson and John Krumm, published at the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2009), “Hidden Markov Map Matching Through Noise and Sparseness - Microsoft Research”; U.S. Department of Transportation, Federal Highway Administration (FHWA), Office of Operations, “Application of Travel Time Data and Statistics to TTR Analyses: Chapter 2”.
Sources used in this film
- NOAA National Ocean Service (U.S. National Oceanic and Atmospheric Administration) — The Global Positioning System: Global Positioning Tutorial · View →
- NASA (National Aeronautics and Space Administration) — GPS - NASA · View →
- Bureau of Transportation Statistics (U.S. Department of Transportation) — Probe Data and Transportation Statistics | Bureau of Transportation Statistics · View →
- European Space Agency (ESA) — Dual-frequency smartphone app winners prove power of two · View →
- Springer Nature (Data Science for Transportation journal) — Impact of navigation apps on congestion and spread dynamics on a transportation network - Data Science for Transportation · View →
- Nature Cities (Springer Nature) — Urban congestion relief experiments through routing-app interventions - Nature Cities · View →
- National Coordination Office for Space-Based Positioning, Navigation, and Timing (U.S. Government, GPS.gov) — Educational_Poster.pdf · View →
- GPS.gov (U.S. government; activity material developed by the National Oceanic and Atmospheric Administration, NOAA) — Trilateration | GPS.gov · View →
- European Space Agency (ESA), Navipedia, GNSS Science Support Centre; article by J. Sanz Subirana, J.M. Juan Zornoza and M. Hernández-Pajares, Technical University of Catalonia, 2011 — GNSS Measurements Modelling - Navipedia · View →
- European Space Agency (ESA) – Navipedia (article edited by GMV) — GNSS Receivers General Introduction - Navipedia · View →
- OpenStreetMap Wiki (OpenStreetMap community documentation) — Elements - OpenStreetMap Wiki · View →
- arXiv (Cornell University); survey by Hannah Bast, Daniel Delling, Andrew Goldberg, Matthias Müller-Hannemann, Thomas Pajor, Peter Sanders, Dorothea Wagner, Renato F. Werneck — Route Planning in Transportation Networks · View →
- Universität Karlsruhe (TH) / Karlsruhe Institute of Technology: Geisberger, Sanders, Schultes and Delling, 'Contraction Hierarchies: Faster and Simpler Hierarchical Routing in Road Networks' — contract.pdf · View →
- European Space Agency (ESA), Navipedia; article authored by GMV — TTFF - Navipedia · View →
- European Space Agency (ESA), Navipedia (article edited by GMV) — Receiver Operations - Navipedia · View →
- Microsoft Research (paper by Paul Newson and John Krumm, published at the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2009) — Hidden Markov Map Matching Through Noise and Sparseness - Microsoft Research · View →
- U.S. Department of Transportation, Federal Highway Administration (FHWA), Office of Operations — Application of Travel Time Data and Statistics to TTR Analyses: Chapter 2 · View →
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Sources
- Summary by Intellect · source: NOAA National Ocean Service (U.S. National Oceanic and Atmospheric Administration): The Global Positioning System: Global Positioning Tutorial
- Also: GPS - NASA
- Also: Bureau of Transportation Statistics (U.S. Department of Transportation): Probe Data and Transportation Statistics | Bureau of Transportation Statistics
- Also: European Space Agency (ESA): Dual-frequency smartphone app winners prove power of two
- Also: Springer Nature (Data Science for Transportation journal): Impact of navigation apps on congestion and spread dynamics on a transportation network - Data Science for Transportation
- Also: Nature Cities (Springer Nature): Urban congestion relief experiments through routing-app interventions - Nature Cities
- Also: National Coordination Office for Space-Based Positioning, Navigation, and Timing (U.S. Government, GPS.gov): Educational_Poster.pdf
- Also: GPS.gov (U.S. government; activity material developed by the National Oceanic and Atmospheric Administration, NOAA): Trilateration | GPS.gov
- Also: European Space Agency (ESA), Navipedia, GNSS Science Support Centre; article by J. Sanz Subirana, J.M. Juan Zornoza and : GNSS Measurements Modelling - Navipedia
- Also: European Space Agency (ESA) – Navipedia (article edited by GMV): GNSS Receivers General Introduction - Navipedia
- Also: OpenStreetMap Wiki (OpenStreetMap community documentation): Elements - OpenStreetMap Wiki
- Also: arXiv (Cornell University); survey by Hannah Bast, Daniel Delling, Andrew Goldberg, Matthias Müller-Hannemann, Thomas Pa: Route Planning in Transportation Networks
- Also: Universität Karlsruhe (TH) / Karlsruhe Institute of Technology: Geisberger, Sanders, Schultes and Delling, 'Contraction : contract.pdf
- Also: European Space Agency (ESA), Navipedia; article authored by GMV: TTFF - Navipedia
- Also: European Space Agency (ESA), Navipedia (article edited by GMV): Receiver Operations - Navipedia
- Also: Microsoft Research (paper by Paul Newson and John Krumm, published at the 17th ACM SIGSPATIAL International Conference o: Hidden Markov Map Matching Through Noise and Sparseness - Microsoft Research
- Also: U.S. Department of Transportation, Federal Highway Administration (FHWA), Office of Operations: Application of Travel Time Data and Statistics to TTR Analyses: Chapter 2
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