GIS Resources

VE Examples

Dissertation's Of Interest

Spatial Analysis of Crime Using GIS-Based Data: Weighted Spatial Adaptive Filtering and Chaotic Cellular Forecasting with Applications to Street Level Drug Markets

Publication Venues

NIJ Maps Conference

Social Science Computer Review

Police Foundation

Geographic Profiling

http://en.wikipedia.org/wiki/Geographic_profiling

Commercial tools (Dragnet, CrimeStat)

Hot Spot Definitions

Experimental evaluation of hotspot identification methods

Crime Hot Spot Analysis and Dynamic Pin Map

Anak Agung, Proceedings of the Seventeenth Annual ESRI User Conference, 1997

Vehicle Tracking Notes

Geographical information systems aided traffic accident analysis system case study

Bayesian multiple testing procedures for hotspot identification

Comparison of spatial methods for measuring road accident ‘hotspots’: a case study of London

Effects of low sample mean values and small sample size on the
estimation of the fixed dispersion parameter of Poisson-gamma models
for modeling motor vehicle crashes: a Bayesian perspective

Efficient map-matching of large GPS data sets -

Tests on a speed monitoring experiment in Zurich
http://www.strc.ch/pdf_2005/STRC05_D2_Marchal.pdf
http://pubsindex.trb.org/document/view/default.asp?lbid=781000

New Compress Sampling Algorithm for FFT-based GPS Signal Acquisition

Asset tracking system employing reduced order GPS with compressed GPS

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HSID Methods

Wen Cheng^, and Simon P. Washington^1, Accident Analysis & Prevention Volume 37, Issue 5, September 2005, Pages 870-881

The objective of hot spot identification (HSID)is to identify transportation system locations(road segments, intersections, interchanges, ramps, etc.) that possess underlying correctable safety problems, and whose effect will be revealed through elevated crash frequencies relative to similar locations.

McGuigan, D.R.D., 1982. Non-junction accident rates and their use in “black-spot” identification. Traffic Eng. Contr. 23 (2), 60–65.

potential for accident reduction, as the difference between the observed and expected number of crashes at a site

Hakkert, A.S., Mahalel, D., 1978. Estimating the number of accidents at intersections from a knowledge of the traffic flow on the approaches. Accident Anal. Prevent. 10, 69–79.

proposed that blackspots should be defined as those sites whose accident frequency is significantly higher than expected at some prescribed level of significance

Mahalel, D., Hakkert, A.S., Prashker, J.W., 1982. A system for the allocation of safety resources on a road network. Accident Anal. Prevent. 14 (1), 45–56.

proposed the road sites selected for treatment should maximize the expected total accident reduction by treatment.