Using Connected Vehicle Trajectory Data to Evaluate the Impact of Automated Work Zone Speed Enforcement
Work zone safety is a high priority for transportation agencies across the United States. Enforcing speed compliance in work zones is an important factor for reducing the frequency and severity of crashes. This paper uses connected vehicle trajectory data to evaluate the impact of automated work zon...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-04-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/22/8/2885 |
| _version_ | 1797409431928963072 |
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| author | Jijo K. Mathew Howell Li Hannah Landvater Darcy M. Bullock |
| author_facet | Jijo K. Mathew Howell Li Hannah Landvater Darcy M. Bullock |
| author_sort | Jijo K. Mathew |
| collection | DOAJ |
| description | Work zone safety is a high priority for transportation agencies across the United States. Enforcing speed compliance in work zones is an important factor for reducing the frequency and severity of crashes. This paper uses connected vehicle trajectory data to evaluate the impact of automated work zone speed enforcement on three work zones in Pennsylvania and two work zones in Indiana. Analysis was conducted on more than 300 million datapoints from over 71 billion records between April and August 2021. Speed distribution and speed compliance studies with and without automated enforcement were conducted along every tenth of a mile, and the results found that overall speed compliance inside the work zones increased with the presence of enforcement. In the three Pennsylvania work zones analyzed, the proportions of vehicles travelling within the allowable 11 mph tolerance were 63%, 75% and 84%. In contrast, in Indiana, a state with no automated enforcement, the proportions of vehicles travelling within the same 11 mph tolerance were found to be 25% and 50%. Shorter work zones (less than 3 miles) were associated with better compliance than longer work zones. Spatial analysis also found that speeds rebounded within 1–2 miles after leaving the enforcement location. |
| first_indexed | 2024-03-09T04:14:32Z |
| format | Article |
| id | doaj.art-e896988269d7489bbf2f81e03696255c |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T04:14:32Z |
| publishDate | 2022-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-e896988269d7489bbf2f81e03696255c2023-12-03T13:56:40ZengMDPI AGSensors1424-82202022-04-01228288510.3390/s22082885Using Connected Vehicle Trajectory Data to Evaluate the Impact of Automated Work Zone Speed EnforcementJijo K. Mathew0Howell Li1Hannah Landvater2Darcy M. Bullock3Department of Civil Engineering, Purdue University, 207 S Martin Jischke Dr, West Lafayette, IN 47907, USADepartment of Civil Engineering, Purdue University, 207 S Martin Jischke Dr, West Lafayette, IN 47907, USAProject Engineer, RK&K, 651 East Park Drive, Harrisburg, PA 17111, USADepartment of Civil Engineering, Purdue University, 207 S Martin Jischke Dr, West Lafayette, IN 47907, USAWork zone safety is a high priority for transportation agencies across the United States. Enforcing speed compliance in work zones is an important factor for reducing the frequency and severity of crashes. This paper uses connected vehicle trajectory data to evaluate the impact of automated work zone speed enforcement on three work zones in Pennsylvania and two work zones in Indiana. Analysis was conducted on more than 300 million datapoints from over 71 billion records between April and August 2021. Speed distribution and speed compliance studies with and without automated enforcement were conducted along every tenth of a mile, and the results found that overall speed compliance inside the work zones increased with the presence of enforcement. In the three Pennsylvania work zones analyzed, the proportions of vehicles travelling within the allowable 11 mph tolerance were 63%, 75% and 84%. In contrast, in Indiana, a state with no automated enforcement, the proportions of vehicles travelling within the same 11 mph tolerance were found to be 25% and 50%. Shorter work zones (less than 3 miles) were associated with better compliance than longer work zones. Spatial analysis also found that speeds rebounded within 1–2 miles after leaving the enforcement location.https://www.mdpi.com/1424-8220/22/8/2885connected vehicletrajectoryspeedsautomated enforcement |
| spellingShingle | Jijo K. Mathew Howell Li Hannah Landvater Darcy M. Bullock Using Connected Vehicle Trajectory Data to Evaluate the Impact of Automated Work Zone Speed Enforcement Sensors connected vehicle trajectory speeds automated enforcement |
| title | Using Connected Vehicle Trajectory Data to Evaluate the Impact of Automated Work Zone Speed Enforcement |
| title_full | Using Connected Vehicle Trajectory Data to Evaluate the Impact of Automated Work Zone Speed Enforcement |
| title_fullStr | Using Connected Vehicle Trajectory Data to Evaluate the Impact of Automated Work Zone Speed Enforcement |
| title_full_unstemmed | Using Connected Vehicle Trajectory Data to Evaluate the Impact of Automated Work Zone Speed Enforcement |
| title_short | Using Connected Vehicle Trajectory Data to Evaluate the Impact of Automated Work Zone Speed Enforcement |
| title_sort | using connected vehicle trajectory data to evaluate the impact of automated work zone speed enforcement |
| topic | connected vehicle trajectory speeds automated enforcement |
| url | https://www.mdpi.com/1424-8220/22/8/2885 |
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