Leveraging Telematics for Winter Operations Performance Measures and Tactical Adjustment

Desai, Jairaj; Mahlberg, Justin; Kim, Woo-Sung; Sakhare, Rahul Suryakant; Li, Howell; McGuffey, Jeremy; Bullock, Darcy M.

doi:10.4236/jtts.2021.114038

Cited by 6 publications

(4 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A 2015 study of Indiana Interstates introduced the 'Congestion Ticker' as a realtime segment-based probe data dashboard to track interstate mobility during summer construction, as well as inclement winter weather [16]. Since then, real-time segmentbased probe data have been leveraged extensively in multiple states, including Indiana, Iowa, New Jersey, Wyoming and in the Pacific Northwest, among others, to monitor the impact of winter storms on road travel, conduct after-action reviews on the effectiveness, and planning resource allocation strategies for winter maintenance operations, as well as improving traveler information [17][18][19][20][21][22]. Segment-based datasets such as the National Performance Management Research Data Set (NPMRDS) have been utilized recently by state and local agencies and practitioners to generate multi-state mobility performance measures to monitor passenger and freight travel [23,24].…”

Section: Emerging Connected Vehicle Data Opportunitiesmentioning

confidence: 99%

Analysis of Connected Vehicle Data to Quantify National Mobility Impacts of Winter Storms for Decision Makers and Media Reports

Desai,

Mathew,

et al. 2023

Future Transportation

Self Cite

View full text Add to dashboard Cite

Traditional techniques of monitoring roadway mobility during winter weather have relied on embedded road sensors, roadside cameras, radio reports from public safety staff, or public incident reports. However, widely available connected vehicle (CV) data provides government agencies and media with a unique opportunity to monitor the mobility impact of inclement weather events in near real-time. This study presents such a use case that analyzed over 500 billion CV records characterizing the spatial and temporal impact of a winter storm that moved across the country from 21 to 26 December 2022. The analysis covered 97,000 directional miles of interstate roadway and processed over 503 billion CV records. At the storm’s peak on 22 December at 5:26 PM Eastern Time, nearly 4800 directional miles of interstate roadway were operating under 45 mph, a widely accepted indicator of degraded interstate conditions. The study presents a methodological approach to systematically assess the mobility impact of this winter event on interstate roadways at a national and regional level. The paper then looks at a case study on Interstate 70, a 4350 directional mile route passing through ten states. Statewide comparison showed Ohio was most impacted, with 9% of mile-hours operating below 45 mph on 23 December. High-Resolution Rapid Refresh weather data provided by the National Oceanic and Atmospheric Administration was integrated into the analysis to provide a visualization of the storm’s temporal path and severity. We believe the proposed metrics and visualizations are effective tools for communicating the severity and geographic impact of extreme weather events to broad non-technical audiences.

show abstract

Section: Emerging Connected Vehicle Data Opportunitiesmentioning

confidence: 99%

Analysis of Connected Vehicle Data to Quantify National Mobility Impacts of Winter Storms for Decision Makers and Media Reports

Desai,

Mathew,

et al. 2023

Future Transportation

Self Cite

View full text Add to dashboard Cite

show abstract

“…Merging real-time truck telematics, dash camera imagery, crowdsourced traffic speeds, and high-resolution National Weather Service (NWS) data provides decision makers with the ability to make data-driven resource allocation decisions during a winter storm event. Figure 4 below shows an integrated web interface of these data sources utilized by INDOT with doppler reflectivity, interstate traffic speeds, snowplow locations (solid blue circles), and salt application rates as light blue lines [3]. Figure 4(a) shows the beginning of a winter storm event on February 2nd, 2022, at 12:00 am.…”

Section: Dashboards For Monitoring Fleet Deployment and Mobility Impactsmentioning

confidence: 99%

“…Recent advances in the availability of traffic data, weather models, and telematics technology coupled with an increase in widespread affordability and accessibility have enabled agencies, including INDOT, to instrument their fleet of maintenance vehicles and utilize statewide tracking dashboards to better monitor and assess the effectiveness of roadway maintenance operations in near real-time [3] [4] [5]. The statewide integration of a Maintenance Decision Support System (MDSS) into its planning operations in the winter of 2008-2009 helped INDOT save nearly $12 million by reducing salt usage by 40.9 percent [6].…”

Section: Introductionmentioning

confidence: 99%

Calibration and Confidence in Snowplow Fleet Operations and Fleet Telematics

Mahlberg¹,

Desai²,

Li³

et al. 2022

JTTs

Self Cite

View full text Add to dashboard Cite

The Indiana Department of Transportation (INDOT) spends approximately $30 to $60 million a year on deicing salt and operates a fleet of 1,000 winter operations trucks distributed among 140 locations. The entire fleet is now instrumented with location telematics, and all new trucks have integrated dash cameras, salt spreader application rate and plow up/plow down integrated into the telematics link. When winter storms occur, they have varying regional impacts and INDOT monitors several data sources including National Weather Service (NWS) live doppler, National Severe Storms Laboratory's (NSSL) Multi-Radar Multi-Sensor (MRMS) products, road weather monitoring stations, and connected vehicles (CV) that provide roadway segment operating speeds. This paper discusses how telematics has been integrated to provide a comprehensive view of conditions, truck asset locations, and material distribution maps. The telematics identified widely varying salt spreader rates for the same calibration settings and equipment in preliminary analysis. A calibration box is developed to allow offload calibration to occur within 10 minutes without weighing or transporting the fleet vehicle. The method is deployed across six districts at INDOT for over 1000 snowplows. A sampling of eight trucks in the fleet found the proposed calibration method reduced salt application on average of 45%. This paper describes a series of telematics dashboards for managing winter operations and details the methods developed for 140 geographically distributed truck units to conduct simple, fast, and effective calibration.

show abstract

“…In August 2020, more than 167 billion passenger car trajectory waypoints were collected across 11 states [3]. Granular information received from individual vehicles have been curated for a variety of applications such as work zone monitoring [4] [5] [6], assessment of winter operations [7] [8], performance at intersections [9] [10] [11] and assessment of roadways in general [3] [12] [13] [14].…”

Section: Introductionmentioning

confidence: 99%

Truck and Passenger Car Connected Vehicle Penetration on Indiana Roadways

Sakhare¹,

Hunter²,

Mukai³

et al. 2022

JTTs

Self Cite

View full text Add to dashboard Cite

Commercially available connected vehicle (CV) probe data has been demonstrated to provide scalable and near-real-time methodologies to evaluate the performance of road networks for various applications. However, one of the major concerns of probe data for agencies is data sampling, particularly during low-volume overnight hours. This paper reports on an evaluation that looked at both connected passenger cars and connected trucks. This study analyzed 40 continuous count stations in Indiana that recorded more than 10.8 million vehicles and more than 13 million trips (3 billion records) from CV data over a 1-week period from May 9 th to 15 th in 2022. The average truck penetration was observed to be 3.4% during overnight hours from 1 AM to 5 AM when the connected passenger car penetration was at the lowest. When both connected trucks and connected car penetration were analyzed, the overall CV penetration was 6.32% on interstates and 5.30% on non-interstate roadways. The paper concludes by recommending that both connected car and connected truck data be used by agencies to increase penetration and reduce the hourly variation in CV penetration. This is particularly important during overnight hours.

show abstract

Leveraging Telematics for Winter Operations Performance Measures and Tactical Adjustment

Cited by 6 publications

References 9 publications

Analysis of Connected Vehicle Data to Quantify National Mobility Impacts of Winter Storms for Decision Makers and Media Reports

Analysis of Connected Vehicle Data to Quantify National Mobility Impacts of Winter Storms for Decision Makers and Media Reports

Calibration and Confidence in Snowplow Fleet Operations and Fleet Telematics

Truck and Passenger Car Connected Vehicle Penetration on Indiana Roadways

Contact Info

Product

Resources

About