Correlating Hard-Braking Activity with Crash Occurrences on Interstate Construction Projects in Indiana

Desai, Jairaj; Li, Howell; Mathew, Jijo K.; Cheng, Yi-Ting; Habib, Ayman; Bullock, Darcy M.

doi:10.1007/s42421-020-00024-x

Cited by 40 publications

(25 citation statements)

References 17 publications

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“…Every month, hundreds of billion passenger Journal of Transportation Technologies vehicle trajectory waypoints, consisting of latitude, longitude, heading, speed, and timestamp, are collected in the United States. The resulting data sets can provide agencies with a plethora of historically difficult to collect data, such as traffic signal performance measures, hard-braking events, interstate congestion, and common detours around road closures [1] [2] [3] [4].…”

Section: Introductionmentioning

confidence: 99%

Estimation of Connected Vehicle Penetration on US Roads in Indiana, Ohio, and Pennsylvania

Hunter¹,

Mathew²,

Li³

et al. 2021

JTTs

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Connected vehicle data is an important assessment tool for agencies to evaluate the performance of freeways and arterials, provided there is sufficient penetration to provide statistically robust performance measures. A common concern by agencies interested in using crowd sourced probe data is the penetration rate across different types of roads, different hours of the day, and different regions. This paper describes and demonstrates a methodology that uses data from state highway performance monitoring systems in Indiana, Ohio and Pennsylvania. The study analyzes 54 locations over the 3 states for select Wednesdays and Saturdays in 2020 and 2021. Overall, across all locations and dates, the median penetration was approximately 4.5%. The median penetration for August 2020 for Indiana, Ohio, and Pennsylvania was 4.6%, 4.3%, and 4.0%, respectively. The median penetration for those same states in August 2020 on interstates and non-interstates was 3.9% and 4.6%, respectively. Additionally, the study conducted a longitudinal evaluation of Indiana penetration for selected months between January 2020 and June 2021. Indiana penetration increased modestly between December 2020 and June 2021, perhaps due to the post-COVID rebound of passenger vehicle traffic. This paper concludes by recommending that the techniques described in this paper be scaled to other states so that traffic engineers can make informed decisions on the use and limitations of connected vehicle data for various use cases.

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Section: Introductionmentioning

confidence: 99%

Estimation of Connected Vehicle Penetration on US Roads in Indiana, Ohio, and Pennsylvania

Hunter¹,

Mathew²,

Li³

et al. 2021

JTTs

Self Cite

View full text Add to dashboard Cite

show abstract

“…A high R 2 value suggests the linear trendline is able to explain most of the dataset. Past studies have indicated a strong relationship between hard-braking and crashes [23]. This clear reduction in hard-braking events for queue warning trucks with alerts is anticipated to reduce crashes by a similar proportion.…”

Section: Longitudinal Analysis Of Queue Warning Truck Impactmentioning

confidence: 94%

“…But crashes are often reported with a time lag and underreported due to a variety of reasons [19] [20] [21], including the unwillingness of involved drivers to report a crash [22]. A study conducted on 23 construction work zones that covered approximately 150 centerline miles of Indiana interstate roadway in the summer of 2019, found that there was approximately 1 crash for every 147 hard-braking events in and around a construction site with an R 2 value of 0.85 [23]. Thus, the new commercially available hard-braking data sources provide an opportunity for agencies to follow up with mitigation measures addressing emerging problems much quicker than typical practices that rely on 3 -5 years of crash data [24].…”

Section: Literature Reviewmentioning

confidence: 99%

Evaluation of the Impact of Queue Trucks with Navigation Alerts Using Connected Vehicle Data

Sakhare¹,

Desai²,

Mahlberg³

et al. 2021

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Back of queue crashes on Interstates are a major concern for all state transportation departments. In 2020, Indiana DOT begin deploying queue warning trucks with message boards, flashers and digital alerts that could be transmitted to navigation systems such as Waze. This study reports on the deployment and impact evaluation of digital alerts on motorist's assistance patrols and 19 Queue trucks in Indiana. The motorist assistance patrol evaluation is provided qualitatively. A novel analysis of queue warning trucks equipped with digital alerts was conducted during the months of May-July in 2021 using connected vehicle data. This new data set reports locations of anonymous hard-braking events from connected vehicles on the Interstate. Hard-braking events were tabulated for when queueing occurred with and without the presence of a queue warning truck. Approximately 370 hours of queueing with queue trucks present and 58 hours of queueing without queue trucks present were evaluated. Hard-braking events were found to decrease approximately 80% when queue warning trucks were used to alert motorists of impending queues.

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“…Heavy braking (HB) is used as an indication of rapid deceleration and to detect collisions or dangerous situations. Based on the literature review [41], a threshold value of −2.5 ms −2 was identified as applicable to the analysis in this study, meaning that values greater than −2.5 ms −2 were considered heavy braking, and were consequently considered to be potential conflicts. A total of six potential HB conflicts were identified.…”

Section: Heavy Brakingmentioning

confidence: 99%

Analysis of Child Traffic Safety near Primary School Areas Using UAV Technology

et al. 2022

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Road safety in primary school areas is a delicate issue due to the vulnerability of children as road users. They are inexperienced traffic participants and sometimes their behavior in traffic situations is unpredictable. This paper reports a safety analysis conducted using video processing of conflict trajectories of vehicles and active transportation users (AT users). The videos were collected using unmanned aerial vehicles (UAVs) as this technology does not affect the actual behavior of traffic participants. Due to their airborne position, UAVs can conveniently gather information about driving behaviors and the exact positions of various participants. The safety analysis was conducted using surrogate indicators suitable for evaluating the risk of potential collisions as they incorporate both spatial proximity and speed. Three conflict indicators were used in the safety analysis: (i) time-to-collision, (ii) post-encroachment time, and (iii) heavy braking. The methodology was tested in a primary school area in the city of Zagreb. With the applied methodology, a total of 43 potential conflicts were identified in the school area (14 time-to-collision, 23 post-encroachment time, and 6 heavy braking). Based on the determined potential conflicts, safety measures were proposed to decrease the number and severity of potential conflicts and to increase traffic safety near school areas.

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Correlating Hard-Braking Activity with Crash Occurrences on Interstate Construction Projects in Indiana

Cited by 40 publications

References 17 publications

Estimation of Connected Vehicle Penetration on US Roads in Indiana, Ohio, and Pennsylvania

Estimation of Connected Vehicle Penetration on US Roads in Indiana, Ohio, and Pennsylvania

Evaluation of the Impact of Queue Trucks with Navigation Alerts Using Connected Vehicle Data

Analysis of Child Traffic Safety near Primary School Areas Using UAV Technology

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