Applying Random Parameters Model to Evaluate the Impact of Traffic, Geometric and Pavement Condition Characteristics on Accident Frequencies Occurred at A - Roads Networks in the UK
This study proposed a fixed and random parameters model to analyze multiperiod dry and wet accidents. Applied random parameters model as a new approach in the UK to estimate accident frequencies provides a reasonable understanding of the main factors that affect accident frequencies. Therefore, this approach allows the research to identify and control for contribution factors that may be bias estimation. To demonstrate the application of the proposed models, a six-year (2005–2010) of accidents data from traffic accidents on Norfolk, Oxfordshire and Nottinghamshire A - road network has been used. The estimation results show that random parameters model performs better than fixed parameters models in terms of Akaike information criterion, log-likelihood test, and chi square test. According to parameter estimates the logarithm of the annual average daily flow, percentage of heavy vehicles, gradients and rut depth are positively associated with more dry and wet accidents. On the other hand, speed limit, radius of curvature, number of lanes, skid resistance and texture depth are found as the significant variables decreasing the numbers of dry and wet accidents.
- Record URL:
-
Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/9783030340681
-
Supplemental Notes:
- © Springer Nature Switzerland AG 2020.
-
Corporate Authors:
Springer International Publishing
, -
Authors:
- Alacash, Hamid Ahmed Awad
- Parry, Tony
-
Conference:
- 16th Scientific and Technical Conference on Transport Systems Theory and Practice (TSTP 2019)
- Location: Katowice , Poland
- Date: 2019-9-16 to 2019-9-18
- Publication Date: 2019-11
Language
- English
Media Info
- Media Type: Web
- Edition: 1
- Features: References;
- Pagination: pp 3-19
- Monograph Title: Modern Traffic Engineering in the System Approach to the Development of Traffic Networks: 16th Scientific and Technical Conference "Transport Systems. Theory and Practice 2019" Selected Papers
-
Serial:
- Advances in Intelligent Systems and Computing
- Volume: 1083
- Publisher: Springer International Publishing
- ISSN: 2194-5357
- Serial URL: http://link.springer.com/bookseries/11156
Subject/Index Terms
- TRT Terms: Crash causes; Crash data; Geometric elements; Pavements; Traffic; Weather conditions
- Geographic Terms: Norfolk (England); Nottinghamshire (England); Oxfordshire (England)
- Subject Areas: Highways; Safety and Human Factors;
Filing Info
- Accession Number: 01919910
- Record Type: Publication
- ISBN: 9783030340681
- Files: TRIS
- Created Date: May 29 2024 9:28AM