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Published byWinifred Hardy Modified over 9 years ago
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CE 525
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Agenda Homework #4 Returned Interesting articles GIS Applications Poster Proposal Discussion
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Interesting Article Discuss the interesting article you read
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Examples of GIS- Based Research in Civil Engineering
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Asset management Construction, Transportation, Materials…
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Sign Inventory Georeference Asset Location Sign Inventory 2 Options for Data Collection : Photo Log VanSignProx
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KYTC Asset Collection Vehicle Right of Way Cameras 3 cameras; One facing forward, right and left Global Positioning System Includes Differential and Inertial Measurement Systems Sub-meter accuracy at highway speeds Inertial Measurement System retains correct position during GPS Dropouts Distance Measure Instrument Roughness Measurement Dynatest Mark IV RSP Rutting Measurement INO Laser Rut Measurement System 1280 Transverse points KYTC Photo Log http://maps.kytc.ky.gov/photolog/ KYTC Photo Log
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Panoramic View
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Sign Measurement
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Photo Log Collection: Very accurate GPS Other data being collected when route driven Safer Urban collection Link to Object photo saved in database No travel time to collect objects from available data KYTC Photo Log
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Collected Inventory
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Manual Collection: Area Development Districts contracted to collect data Data stored in shapefile and geodatabase Merged with Photo Log database KYTC Manual Collection
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Crash Data Transportation
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H igh C rash I ntersections Intersection list Intersection ADT Assign intersection crashes Calculate intersection crash rates Identify high crash intersections
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KY 29 US 68
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I ntersection L ist A spatial database was created for the list of intersections The database included the roadway characteristics of the major road for each intersection
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Intersection of US 25 and US 27 This record would contain US 25’s roadway characteristics
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I ntersection ADT Traffic volumes were obtained from the Highway Performance Monitoring System (HPMS) database The ADT of all intersecting roads was added to the intersection list This was accomplished spatially using ArcView Each intersection had up to five ADT sections
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Crash Locations Methods for locating a crash for a police officer Review of a random sample of crash data Analysis of current location data Where should a crash be located? Conclusions / Recommendations
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Paper Reports Submitted manually GPS from Magellan, Google® Maps, 911 system County, Route and Milepoint (CRMP) using reference system
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eCrash KYOPS MapIt Added October 1 st 2007 CRMP data linked to GPS Between/Intersect streets Searchable RT Unique: “034-US-0068 -000”
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Crash Data Potted by GPS
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Crash Data plotted by GPS Showing County Check
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Kennedy Bridge Study
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Crash data plotted by GPS and CRMP within proximity to the “Kennedy Interchange corridors”
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Crashes occurring outside the buffer zones were selected due to their location description or using engineering judgment
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EPDO Density Plots for the “Kennedy Interchange Corridors” (2005 to 2009)
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EPDO Density Plots for the I-64 and I-65 section of the “Kennedy Interchange Corridors” (2005 to 2009)
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Travel Data Transportation, Planning, …
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Travel Time Study Purchased travel time/speed data from NAVTEQ Setup ArcServer to display travel speed data using Tracking Analyst Uploaded data to ArcGIS.com for interactive viewing
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Tracking Analyst
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ArcGIS.com
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Site Selection Transportation, Construction, Water Resources, …
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Potential CORS Stations In and Near Kentucky and Their Coverage
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Location-Allocation Outputs The best sites The optimal allocation of demand locations to those sites Lots of statistical and summary information about that particular allocation
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Initial Configuration (From Jay Sandhu, ESRI)
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Available Sites (From Jay Sandhu, ESRI)
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Final Configuration (From Jay Sandhu, ESRI)
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Vehicle Routing (From Jay Sandhu, ESRI)
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Synergy between spatial data and analysis Imagine you are a national retailer You need warehouses to supply your outlets You do not wish the warehouses to be more than 1000 km from any outlet (Example from Jay Sandhu, ESRI)
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Demand (population density) (From Jay Sandhu, ESRI)
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Possible Candidate Sites…? (From Jay Sandhu, ESRI)
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Feasible Candidate Sites (From Jay Sandhu, ESRI)
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Optimal One Site (From Jay Sandhu, ESRI)
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Optimal Two Sites (From Jay Sandhu, ESRI)
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Optimal Six Sites (From Jay Sandhu, ESRI)
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Optimal Nine Sites (From Jay Sandhu, ESRI)
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Coverage vs. Distance (From Jay Sandhu, ESRI)
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Proposal Discussions
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