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Application of Connected Truck data to Evaluate Spatiotemporal Impact of Rest Area Closures on Ramp Parking

Journal of Transportation Technologies 2024年第3期14卷 289-307页

作者： Jijo K. Mathew jairaj d.sai Edward d. Cox darcy M. Bullock Lyles School of Civil Engineering Purdue University West Lafayette IN USA Indiana department of Transportation Indianapolis IN USA

Ensuring adequate access to truck parking is critical to the safe and efficient movement of freight traffic. There are strict federal guidelines for commercial truck driver rest periods. Rest areas and private truck stops are the only places for the trucks to stop legally and safely. In locations without sufficient parking areas, trucks often park on interstate ramps, which create safety risks for other interstate motorists. Historically, agencies have employed costly and time intensive manual counting methods, camera surveillance, and driver surveys to assess truck parking. Connected truck data, available in near real-time, offers an efficient alternative to practitioners to assess truck parking patterns and identify areas where there may be insufficient safe parking spaces. This paper presents a case study of interstate I-70 in east central Indiana and documents the observed spatiotemporal impacts of a rest area closure on truck parking on nearby interstate ramps. Results showed that there was a 28% increase in parking on ramps during the rest area closure. Analysis also found that ramps closest to the rest area were most impacted by the closure, seeing a rise in truck parking sessions as high as 2.7 times. Parking duration on the ramps during rest area closure also increased drastically. Although it was expected that this would result in increased parking by trucks on adjacent ramps, this before, during, after scenario provided an ideal scenario to evaluate the robustness of these techniques to assess changing parking characteristics of long-haul commercial trucks. The data analytics and visualization tools presented in this study are scalable nationwide and will aid stakeholders in informed data-driven decision making when allocating resources towards improving the nations commercial vehicle parking infrastructure.

关键词： Connected Truck data Rest Areas Exit Ramps Truck Parking Commercial Vehicles

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Load Settlement Characteristics of Model Footings Resting on Surface Treated Coir Fiber Reinforced BC Soil Overlying Loose Stratum

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Journal of Geological Resource and Engineering 2017年第2期5卷 87-92页

作者： jairaj M. T. Prathap Kumar Ganapathi Gayithri department of Civil Engineering NMIT Bangaluru 560064 and Resarch Scholar GCE Ramanagara 571511 India department of Civil Engineering RNS Institute of Technology Bengaluru 560098 lndia department of Civil Engineering NMIT Bangaluru 560064 India

In nature there are situations where in foundation had to be placed over loose soil deposits. In such cases, deep foundations are recommended which increases cost of the structure. Black cotton soils, because of its high swelling and shrinkage characteristics, have been a challenge to geotechnical engineers, increasing the strength of Clayey soil which is formed introducing randomly distributed fibers results in comparatively more homogeneous soil mixture and is one of the popular methods of soil stabilization. In the present study, model footing resting on BC soil reinforced with optimum percentage of treated and untreated coir fiber underlain by loose soil deposit was conducted to study its influence on bearing capacity and settlement. Loose soil deposit has been simulated by compacting sawdust in prefabricated steel tank. BC soil reinforced with optimum percentage of treated and untreated coir fibers has been compacted over loose sawdust and load settlement characteristics were determined at various d/B ratio of 1,2, 3 and for different sized model footings. The results indicated that settlement of model footings is significantly small at lower d/B = 1 and 2 ratios. Bearing capacity of BC soil is also found to be significantly affected by fiber reinforcement.

关键词： Black cotton soil model footing treated coir fiber bearing capacity factor RdF.

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Evaluation of the Impact of Presence Lighting and digital Speed Limit Trailers on Interstate Speeds in Indiana Work Zones

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Journal of Transportation Technologies 2021年第2期11卷 157-167页

作者： Rahul Suryakant Sakhare jairaj C. d.sai Jijo K. Mathew John d. McGregor darcy M. Bullock Purdue University West Lafayette USA Indiana department of Transportation Indianapolis USA

Work zone safety continues to be one of the important focus areas for transportation agencies. Previous studies have identified that vehicle speed and lighting conditions are significant risk factors impacting work zone safety. This study evaluated the impact of the use of presence lighting and digital speed limit trailers on nighttime motorist speeds using commercially available connected vehicle speed data. Geospatial analysis was conducted on over 500,000 connected vehicle records to linear reference nearly 18,000 records from 195 unique trajectories to study section during the study period of 2 days. Results showed that median speeds reduced by 4 to 13 mph from 11PM to 7AM during the deployment of presence lighting and speed limit trailers compared to base conditions. A Kolmogorov-Smirnov (KS) statistical test comparing 105 vehicles traveling through the construction zone with presence lighting and speed limit trailers with a group of 90 vehicles during base condition indicated the speeds during the deployment of presence lighting and speed limit trailers were lower than the base condition. Also, increased compliance with the 55 mph speed limit was observed when the presence lighting and digital speed limit trailers were deployed. However, there were two hours (3AM to 5AM) where speeds increased by 0 - dana;">4 mph, perhaps due to the low volume at that hour. The encouraging results support the further deployment of presence lighting and speed limit trailers in nighttime construction zones for reducing vehicle speeds. Those future deployments should be monitored w

关键词： Work Zone Safety Probe data Work Zone Practices Speed Study Construction Zone Speed Reduction

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Methodology for Automatically Setting Camera View to Mile Marker for Traffic Incident Management

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Journal of Transportation Technologies 2023年第4期13卷 708-730页

作者： Jijo K. Mathew Haydn A. Malackowski Christopher M. Gartner jairaj d.sai Edward d. Cox Ayman F. Habib darcy M. Bullock Lyles School of Civil Engineering Purdue University West Lafayette USA Indiana department of Transportation Indianapolis USA

Traffic incident management (TIM) is a FHWA Every day Counts initiative with the objective of reducing secondary crashes, improving travel reliability, and ensuring safety of responders. Agency roadside cameras play a critical role in TIM by helping dispatchers quickly identify the precise location of incidents when receiving reports from motorists with varying levels of spatial accuracy. Reconciling position reports that are often mile marker based, with cameras that operate in a Pan-Tilt-Zoom coordinate system relies on dispatchers having detailed knowledge for hundreds of cameras and perhaps some presets. during real-time incident dispatching, reducing the time it takes to identify the most relevant cameras and setting their view on the incident is an important opportunity to improve incident management dispatch times. This research develops a camera-to-mile marker mapping technique that automatically sets the camera view to a specified mile marker within the field-of-view of the camera. Over 350 traffic cameras along Indiana’s 2250 directional miles of interstate were mapped to approximately 5000 discrete locations that correspond to approximately 780 directional miles (~35% of interstate) of camera coverage. This newly developed technique will allow operators to quickly identify the nearest camera and set them to the reported location. This research also identifies segments on the interstate system with limited or no camera coverage for decision makers to prioritize future capital investments. This paper concludes with brief discussion on future research to automate the mapping using LidAR data and to set the cameras after automatically detecting the events using connected vehicle trajectory data.

关键词： Roadside Cameras Traffic Incident Management Connected Vehicles Trajectory

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

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Journal of Transportation Technologies 2021年第4期11卷 561-576页

作者： Rahul Suryakant Sakhare jairaj C. d.sai Justin Mahlberg Jijo K. Mathew Woosung Kim Howell Li John d. McGregor darcy M. Bullock Purdue University West Lafayette USA Indiana department of Transportation Indianapolis USA

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.

关键词： Queue Trucks Navigation Alerts Connected Vehicle data Hard-Braking Events Motorists’ Safety

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