Crash modification factors for adaptive traffic signal control: An Empirical Bayes before-after study. (September 2020)
- Record Type:
- Journal Article
- Title:
- Crash modification factors for adaptive traffic signal control: An Empirical Bayes before-after study. (September 2020)
- Main Title:
- Crash modification factors for adaptive traffic signal control: An Empirical Bayes before-after study
- Authors:
- Tang, Houjun
Gayah, Vikash V.
Donnell, Eric T. - Abstract:
- Highlights: CMFs for adaptive traffic signal control (ATSC) systems developed using Empirical Bayes before-after study. CMFs for ATSC system impacts at individual intersections and along entire adaptive corridors are estimated. Temporal trends in safety performance of ATSC system also studied. Results reveal minor increase in total crash frequency and decrease in fatal + injury crash frequency. Abstract: Adaptive traffic signal control (ATSC) is a novel traffic management system that is often deployed at high-volume intersections in order to mitigate traffic congestion and improve travel time reliability. While past studies have demonstrated its operational effectiveness, relatively few have focused on safety performance. Those that have tend to suffer from limitations including small sample sizes, insufficient study designs, or the lack of consideration of potential temporal and corridor effects after ATSC installation. Furthermore, results from previous studies are mixed: while many studies point to a safety improvement, more recent studies seem to indicate that ATSC systems might increase crash frequency. In light of this, a comprehensive Empirical Bayes (EB) before-after observational study was conducted using ATSC data collected throughout Pennsylvania. Crash modification factors (CMFs) were estimated based on the following different case scenarios: crash severity levels and crash types (total, fatal and injury, rear-end, and angle crashes); intersection locations (allHighlights: CMFs for adaptive traffic signal control (ATSC) systems developed using Empirical Bayes before-after study. CMFs for ATSC system impacts at individual intersections and along entire adaptive corridors are estimated. Temporal trends in safety performance of ATSC system also studied. Results reveal minor increase in total crash frequency and decrease in fatal + injury crash frequency. Abstract: Adaptive traffic signal control (ATSC) is a novel traffic management system that is often deployed at high-volume intersections in order to mitigate traffic congestion and improve travel time reliability. While past studies have demonstrated its operational effectiveness, relatively few have focused on safety performance. Those that have tend to suffer from limitations including small sample sizes, insufficient study designs, or the lack of consideration of potential temporal and corridor effects after ATSC installation. Furthermore, results from previous studies are mixed: while many studies point to a safety improvement, more recent studies seem to indicate that ATSC systems might increase crash frequency. In light of this, a comprehensive Empirical Bayes (EB) before-after observational study was conducted using ATSC data collected throughout Pennsylvania. Crash modification factors (CMFs) were estimated based on the following different case scenarios: crash severity levels and crash types (total, fatal and injury, rear-end, and angle crashes); intersection locations (all intersections and intersections along corridors only); and, intersection configurations (3-leg and 4-leg). Temporal trends for intersection-level CMFs were examined using annual crash data in the after period. Corridor-level CMFs were also developed to quantify changes in safety performance along corridors with ATSC installed. The results suggest that ATSC is associated with a nominal increase in total and angle crashes, and an expected decrease in fatal plus injury crashes and rear-end crashes. However, the results were not statistically significant. The safety effect estimates are similar when considering intersection locations and configurations. In addition, the temporal trend analysis indicates that the safety effectiveness does not vary annually in the after period, suggesting no obvious novelty effect associated with ATSC. Finally, the magnitude of the corridor-level CMFs are slightly lower than the intersection-level CMFs, except for rear-end crashes. … (more)
- Is Part Of:
- Accident analysis and prevention. Volume 144(2020)
- Journal:
- Accident analysis and prevention
- Issue:
- Volume 144(2020)
- Issue Display:
- Volume 144, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 144
- Issue:
- 2020
- Issue Sort Value:
- 2020-0144-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-09
- Subjects:
- Roadway safety -- Adaptive traffic signal control -- Crash modification factor -- Empirical Bayes before-after evaluation
Accidents -- Prevention -- Periodicals
Accident Prevention -- Periodicals
Accidents -- Prévention -- Périodiques
363.106 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00014575 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.aap.2020.105672 ↗
- Languages:
- English
- ISSNs:
- 0001-4575
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 0573.130000
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