WorldCat Identities

Washington State Transportation Center

Overview
Works: 811 works in 1,098 publications in 1 language and 6,965 library holdings
Classifications: te716.w2, 625.7
Publication Timeline
Key
Publications about Washington State Transportation Center Publications about Washington State Transportation Center
Publications by Washington State Transportation Center Publications by Washington State Transportation Center
Most widely held works about Washington State Transportation Center
 
Most widely held works by Washington State Transportation Center
by ( Book )
2 editions published in in English and held by 123 libraries worldwide
by ( Book )
3 editions published between and 1996 in English and held by 26 libraries worldwide
by ( Book )
1 edition published in in English and held by 26 libraries worldwide
by ( Book )
1 edition published in in English and held by 25 libraries worldwide
by ( Book )
1 edition published in in English and held by 25 libraries worldwide
by ( Book )
5 editions published in in English and held by 23 libraries worldwide
Traffic congestion is a major operational problem for freeways in Washington State. Recent studies have estimated that more than 50 percent of freeway congestion is caused by traffic incidents. To help the Washington State Department of Transportation (WSDOT) identify effective countermeasures against such congestion-inducing incidents, a thorough understanding of travel delays caused by incidents is essential. By using traffic data extracted from archived loop detector measurements and incident log data recorded by the WSDOT Incident Response (IR) team, this research project developed a new algorithm for quantifying travel delays produced by different incident categories. The algorithm applies a modified deterministic queuing theory to estimate incident-induced delay by using 1-minute aggregated loop detector data. Incident-induced delay refers to the difference between the total delay and the recurrent travel delay at the time and location influenced by the incident. The uniqueness of the delay calculation in this study is the use of a dynamic traffic-volume-based background profile, which is considered a more accurate representation of prevailing traffic conditions. According to the test results, the proposed algorithm can provide good estimates for incident-induced delay and capture the evolution of freeway traffic flow during incident duration. Because actual traffic data measured by loop detectors were used in this study to compute vehicle arrival and departure rates for delay calculations, the estimated incident-induced delay should be very close to the reality. Additionally, the proposed algorithm was implemented in the Advanced Roadway Incident Analyzer (ARIA) system. ARIA is a database-driven computer system that automates all the computational processes. More accurate incident delay information will help WSDOT improve its understanding of congestion-inducing incidents and select more effective countermeasures against incident-related traffic congestion on freeways.
by ( Book )
2 editions published between and 2006 in English and held by 23 libraries worldwide
by ( Book )
2 editions published in in English and held by 23 libraries worldwide
by ( Book )
1 edition published in in English and held by 23 libraries worldwide
by ( Book )
2 editions published in in English and held by 22 libraries worldwide
Small, unmanned aerial vehicles (UAVs) are increasingly affordable, easy to transport and launch, and can be equipped with cameras that provide information usable for transportation agencies. The Washington State Department of Transportation conducted a series of UAV tests to evaluate their capabilities while also exploring institutional issues. These tests, while exploring the general capabilities of UAVs, focused on evaluating the use of a UAV as an avalanche control tool on mountain slopes above state highways. WSDOT's maintenance division has an active snow avalanche control program that is designed to reduce highway closure time and hazards to motorists, and the use of UAVs was seen as having some potential operational advantages. The UAVs also captured aerial images suitable for traffic surveillance and data collection. The evaluation found that the main limitation to UAV use is institutional, particularly the need to obtain approval to fly from the Federal Aviation Administration (FAA). This approval process will make UAV use a challenge, but these issues may change as the FAA considers new rules.
by ( Book )
2 editions published in in English and held by 12 libraries worldwide
 
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Alternative Names
TRAC (Washington State Transportation Center)
University of Washington. Washington State Transportation Center
Washington (State). State Transportation Center
Washington State Transportation Research Center
Washington State University. Washington State Transportation Center
Washington (State). Washington State Transportation Center
Languages
English (1,100)