CE 525

Agenda

Homework #4 ReturnedInteresting articlesGIS ApplicationsPoster Proposal

Discussion

Interesting Article

Discuss the interesting article you read

Examples of GIS-Based

Research in Civil

Engineering

Asset managementConstruction, Transportation, Materials…

Sign Inventory

Georeference Asset Location

Sign Inventory

2 Options for Data Collection:

Photo Log Van SignProx

KYTC Asset Collection Vehicle

Right of Way Cameras3 cameras; One facing forward, right and left

Global Positioning SystemIncludes Differential and Inertial Measurement SystemsSub-meter accuracy at highway speedsInertial Measurement System retains correct position during GPS Dropouts

Distance Measure Instrument

Roughness MeasurementDynatest Mark IV RSP

Rutting MeasurementINO Laser Rut Measurement System1280 Transverse points

KYTC Photo Log

http://maps.kytc.ky.gov/photolog/

KYTC Photo Log

Panoramic View

Sign Measurement

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

Collected Inventory

Manual Collection:• Area Development Districts contracted to collect data

• Data stored in shapefile and geodatabase

• Merged with Photo Log database

KYTC Manual Collection

Crash DataTransportation

High Crash Intersections Intersection list Intersection ADT Assign intersection crashes Calculate intersection crash rates Identify high crash intersections

KY 29

KY 29US 68

Intersection List

A spatial database was created for the list of intersections

The database included the roadway characteristics of the major road for each intersection

Intersection of US 25 and US 27This record would contain US 25’s roadway characteristics

Intersection 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

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

Paper Reports

Submitted manually GPS from Magellan,

Google® Maps, 911 system

County, Route and Milepoint (CRMP) using reference system

eCrash KYOPS

MapIt Added October 1st

2007 CRMP data linked to

GPS Between/Intersect

streets Searchable RT Unique:“034-US-0068 -000”

Crash Data Potted by GPS

Crash Data plotted by GPS Showing County Check

Kennedy Bridge Study

Crash data plotted by GPS and CRMP within proximity to the “Kennedy Interchange corridors”

Crashes occurring outside the buffer zones were selected due to their location description or using engineering judgment

EPDO Density Plots for the “Kennedy Interchange Corridors” (2005 to 2009)

EPDO Density Plots for the I-64 and I-65 section of the “Kennedy Interchange Corridors” (2005 to 2009)

Travel DataTransportation, Planning, …

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

Tracking Analyst

ArcGIS.com

Site SelectionTransportation, Construction, Water Resources, …

Potential CORS Stations In and Near Kentucky and Their Coverage

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

Initial Configuration

(From Jay Sandhu, ESRI)

Available Sites

(From Jay Sandhu, ESRI)

Final Configuration

(From Jay Sandhu, ESRI)

Vehicle Routing

(From Jay Sandhu, ESRI)

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)

Demand (population density)

(From Jay Sandhu, ESRI)

Possible Candidate Sites…?

(From Jay Sandhu, ESRI)

Feasible Candidate Sites

(From Jay Sandhu, ESRI)

Optimal One Site

(From Jay Sandhu, ESRI)

Optimal Two Sites

(From Jay Sandhu, ESRI)

Optimal Six Sites

(From Jay Sandhu, ESRI)

Optimal Nine Sites

(From Jay Sandhu, ESRI)

Coverage vs. Distance

(From Jay Sandhu, ESRI)

Proposal Discussions