This report presents the results of a study designed to evaluate the effectiveness of the freeway service patrols (FSP) on a section of I-10 in Los Angeles. An evaluation methodology was used to estimate incident delays based on loop detector data and probe vehicles, and derive estimates of...

The main objectives of this study are to: 1) systematically classify new transit technologies and their impacts, 2) use the classification structure for exploring availability of new transit technologies, and 3) introduce technology developers to the California Advanced Public Transportation...

The paper describes a methodology and its application to measure total, recurrent, and non-recurrent (incident related) delay on urban freeways. The methodology uses data from loop detectors and calculates the average and the probability distribution of delays. Application of the methodology to...

An algorithm for real time estimation of truck traffic in multi-lane freeway is proposed. The algorithm uses data from single loop detectors-the most widely installed surveillance technology for urban freeways in the US. The algorithm works for those freeway locations that have a truck-free...

The specific objective of this study is to assess traveler behavior impacts of Advanced Traveler Information Systems (ATIS) technologies and the consequent system impacts at highway bottlenecks caused by incidents and recurring congestion. This research is based on earlier work regarding impacts...

This document is a reference manual for the fsp and xfsp programs. The fsp program is a software tool used to interrogate the data that was collected during the Freeway Service Patrol Evaluation Project. The purpose of the program is to perform diagnostics on the data, generate error reports,...

This paper presents a methodology to evaluate a benefit-to-cost ratio effectiveness of the Freeway Service Patrol in a freeway section in Los Angeles. The methodology addresses the process of estimating incident delay using probe vehicles and the lack of "before" data.

We present a novel, off-line approach for evaluating incident detection algorithms. Previous evaluations have focused on determining the detection rate versus false alarm rate curve -- a process which we argue is inherently fraught with difficulties. Instead, we propose a cost-benefit analysis...