Utilizing Connected Vehicle Data to Identify Impacts of Congestion on Adjacent Agencies

Most state agencies have good practices for monitoring congestion on roadways within their jurisdiction. Many urbanized areas span state boundaries, where incidents, work zones, and congestion often impact neighboring states or municipalities. States with urbanized borders that experience congestion often develop informal communication procedures and occasionally share a few traffic management cameras. However, system integration to share between adjacent states can be challenging, particularly for work zones and incidents. Commercial connected vehicle data (CV) provides real-time probes for corridors and can be used to monitor traffic data either within a state or across the border into an adjacent state with no requirement for institutional interfaces. For example, Indiana has 15 interstate crossings into four different states. As a matter of practice, Indiana purchases connected vehicle data that extends 10 miles into all neighboring states. This provides an ability to monitor work zones, incidents, and re-occurring congestion in adjacent states that may impact Indiana, as well as understanding when Indiana freeway congestion impacts neighboring states. This paper presents case studies that explain how cross border queueing can be monitored and summarized over a year for the I-94, I-90, I-70, I-69, I-65, I-64, I-275 and I-265 Indiana Interstates. The inbound IL to IN segment of I-94 had the largest median hours of queuing with 69.1 hours per week. The outbound IN to KY segment of I-275 departing Indiana had the largest median hours of queuing with 19.5 hours per week.

Authors

Institutions

Publication Details

Journal
Journal of Transportation Technologies
Published
2025-01-01
DOI
https://doi.org/10.4236/jtts.2025.154024
Primary Topic
Cross-Border Cooperation and Integration
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Utilizing Connected Vehicle Data to Identify Impacts of Congestion on Adjacent Agencies

Timothy Driscoll, Rahul Suryakant Sakhare, Darcy M. Bullock, Jairaj Desai
Journal of Transportation Technologies
Cross-Border Cooperation and Integration
article

Utilizing Connected Vehicle Data to Identify Impacts of Congestion on Adjacent Agencies

Timothy Driscoll, Rahul Suryakant Sakhare, Darcy M. Bullock, Jairaj Desai
article en

Abstract

Most state agencies have good practices for monitoring congestion on roadways within their jurisdiction. Many urbanized areas span state boundaries, where incidents, work zones, and congestion often impact neighboring states or municipalities. States with urbanized borders that experience congestion often develop informal communication procedures and occasionally share a few traffic management cameras. However, system integration to share between adjacent states can be challenging, particularly for work zones and incidents. Commercial connected vehicle data (CV) provides real-time probes for corridors and can be used to monitor traffic data either within a state or across the border into an adjacent state with no requirement for institutional interfaces. For example, Indiana has 15 interstate crossings into four different states. As a matter of practice, Indiana purchases connected vehicle data that extends 10 miles into all neighboring states. This provides an ability to monitor work zones, incidents, and re-occurring congestion in adjacent states that may impact Indiana, as well as understanding when Indiana freeway congestion impacts neighboring states. This paper presents case studies that explain how cross border queueing can be monitored and summarized over a year for the I-94, I-90, I-70, I-69, I-65, I-64, I-275 and I-265 Indiana Interstates. The inbound IL to IN segment of I-94 had the largest median hours of queuing with 69.1 hours per week. The outbound IN to KY segment of I-275 departing Indiana had the largest median hours of queuing with 19.5 hours per week.

Journal of Transportation TechnologiesVol. 15(04)
Purdue University West Lafayette (US)
Openalex Percentile: Top 70%
Cross-Border Cooperation and Integration
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.