Guide to Integrating Business Processes to Improve Travel Time Reliability
Related Artifacts: Project L34 e-Tool (Java), Project L34 e-Tool (Windows 7), Project L34 e-Tool (Windows XP and Vista)
This Amplified Work Plan provides an overview of the approach to the research and documentation to fulfill the specifications for the Reliability L01, Integrating Business Processes to Improve Travel Time Reliability.
Related Artifacts: SHRP2-L01 Request for Proposals
A presentation reviewing the L01 project methods and products.
Related Artifacts: Project L34 e-Tool (Java), Project L34 e-Tool (Windows 7), Project L34 e-Tool (Windows XP and Vista)
An overview of the SHRP2 L01 project presented at the TRB annual meeting
Related Artifacts: Project L34 e-Tool (Java), Project L34 e-Tool (Windows 7), Project L34 e-Tool (Windows XP and Vista)
Reliability is defined in this report as consistency of travel times for a particular trip. Travelers tend to estimate how long a trip will take based on parameters such as distance, time of day, and their own experience. Impacts to the transportation network that cause unexpected delays introduc
Database design usually takes the form of a schema, which formally describes the database structure, including the tables, their relationships, and constraints on data value types and lengths. Rather than defining an implementable schema, this chapter presents example tables that can store inform
The Project L02 Guide to Establishing Monitoring Programs for Travel Time Reliability describes how to develop and use a Travel Time Reliability Monitoring System (TTRMS). The guide also explains why such a system is useful; how it helps agencies do a better job of managing network performance; a
This supplement augments Chapter 3 by providing additional details about how to analyze travel time reliability for segments, routes, and networks.
Related Artifacts: L02 - Supplement A - Monitoring System Architecture; L02 - Supplement B - Methodological Details; L02 - Supple
This paper aims to establish a point-queue based end-to-end travel time prediction method on a corridor with multiple merges and diverges. In a point-queue model, a link can be considered as two segments: the free-flow segment and the queuing segment. The accompanying spreadsheet and presentation
This white paper describes an acceptable process for creating distributions of travel times for a route from distributions of the segments that compose said route. It has long been generally accepted by experts in traffic flow analysis, including statisticians, that the variability of travel time
