All papers except for two are PDF documents describing the physics of the ITE yellow change interval equation.
The two "Empirical Data" downloads are zip files of Excel spread sheets and graphs. The "Verifying Solution" download contains Excel spread sheets graphing red light violations rate versus time-into-red for various tuples of yellow change interval and traffic lane. The analysis considers 140,000 data points from raw red light camera data from many intersections. The analysis shows that when traffic engineers decrease the yellow light by 1 second, the tail end of curve extends 1 second further into the time into red. The amount of time into red is predictable by the equations of motion defined in the papers.
The other empirical download is the "Yellow Time Affecting" zip file. It contains graphs from over a dozen cities in the USA. These graphs show red light running rate versus yellow change interval. The graphs demonstrate that run red light running is almost solely a function of the duration of the yellow light.
The conclusion is that red light running is not a function of errant driver behavior but rather of the conflict between traffic engineering practice and the laws of physics.
|Traffic Technology International - Red Light Cameras Exploiting Bad Yellow Equation||Download|
|Derivation of the Yellow Change Interval Formula||Download|
|4 Problems with the ITE Equation||Download|
|Yellow Change and Red Clearance Intervals Solution||Download|
|Misapplied Physics in the Yellow Change Interval||Download|
|Empirical Data Verifying Yellow Change and Red Clearance Solution||Download|
|Empircal Data Showing Yellow Time Affecting Red Light Running Rates||Download|
|The Problem of the Amber Signal Light in Traffic Flow||Download|
|Determination of Left Turn Yellow Change and Red Clearance Intervals||Download|
|Dilemma Zone Driver Behavior as a Function of Vehicle Type, Time of Day and Platooning||Download|
|Create Date||December 29, 2015|
|Last Updated||September 30, 2017|