Author: Amy EppsPublisher:
ISBN:
Category : Traffic congestion
Languages : en
Pages : 296
Book Description
Developing Methodologies for Quantifying Freeway Congestion Delay
Author: Amy EppsPublisher:
ISBN:
Category : Traffic congestion
Languages : en
Pages : 296
Book Description
Developing a Methodology for Quantifying Non-recurring Freeway Congestion Delay
Author: Jennifer C. ChengPublisher:
ISBN:
Category : Traffic congestion
Languages : en
Pages : 78
Book Description
Developing a Methodology for Quantifying Non-recurring Freeway Congestion Delay
Author: Amy EppsPublisher:
ISBN:
Category : Traffic congestion
Languages : en
Pages : 256
Book Description
Development and Testing of a Freeway Recurring Congestion Measure
Author: Mousa F. AbbasiPublisher:
ISBN:
Category : Traffic congestion
Languages : en
Pages : 246
Book Description
Measuring Non-recurrent Traffic Congestion
Author: Transportation Research Record
Author: Compendium of Technical Papers
Author: Institute of Transportation Engineers. MeetingPublisher:
ISBN:
Category : Traffic engineering
Languages : en
Pages : 544
Book Description
National Traffic Data Acquisition Conference (NATDAC '94). Proceedings, Volume II. Final Report
Author: Donald A. LarsenQuantifying Incident-induced Travel Delays on Freeways Using Traffic Sensor Data
Author: Yinhai WangPublisher:
ISBN:
Category : Disabled vehicles on express highways
Languages : en
Pages : 88
Book Description
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.
Author: