Quantitative analysis of probe data characteristics: Coverage, speed bias and congestion detection precision

V Ahsani, M Amin-Naseri, S Knickerbocker… - Journal of Intelligent …, 2019 - Taylor & Francis
In recent years, there has been a growing desire for the use of probe vehicle technology for
congestion detection and general infrastructure performance assessment. Unlike costly …

Detector-free signal offset optimization with limited connected vehicle market penetration: Proof-of-concept study

CM Day, DM Bullock - Transportation Research Record, 2016 - journals.sagepub.com
Connected vehicle (CV) data have the potential to transform traffic signal operations, but the
success of control methods that are based on CV data depends on the level of market …

[HTML][HTML] Using big data and machine learning to rank traffic signals in Tennessee

C Winfrey, P Meleby, L Miao - Journal of traffic and transportation …, 2023 - Elsevier
This paper discusses low-cost approaches capable of ranking traffic intersections for the
purpose of signal re-timing. We extracted intersections that are comprised of multiple roads …

Performance ranking of arterial corridors using travel time and travel time reliability metrics

CM Day, SM Remias, H Li, MM Mekker… - Transportation …, 2015 - journals.sagepub.com
Performance measures are essential for managing transportation systems and
demonstrating agency accountability. Probe vehicles are an effective means for gathering …

Applying travel-time reliability measures in identifying and ranking recurrent freeway bottlenecks at the network level

L Gong, W Fan - Journal of Transportation Engineering, Part A …, 2017 - ascelibrary.org
The primary purpose of this study is to develop a systematic approach to effectively
identifying and ranking recurrent freeway bottlenecks using travel-time reliability (TTR) …

Machine learning methods for commercial vehicle wait time prediction at a border crossing

S Sharma, DH Kang, JRM de Oca, A Mudgal - Research in Transportation …, 2021 - Elsevier
Commercial Vehicles crossing the international land port of entries (LPOEs) go through
multiple screenings/stops contributing to the long queues at the congested border crossings …

Considerations for calculating arterial system performance measures in Virginia.

R Venkatanarayana - 2017 - rosap.ntl.bts.gov
The Moving Ahead for Progress in the 21st Century Act (MAP-21) mandates that state
departments of transportation monitor and report performance measures in several areas …

Characteristics and temporal stability of recurring bottlenecks

I Ahmed, NM Rouphail, S Tanvir - Transportation research …, 2018 - journals.sagepub.com
This study applies and updates a method which identifies and quantifies the extent of traffic
congestion from recurring freeway bottlenecks. Additionally, the spatiotemporal stability of …

Improving probe-based congestion performance metrics accuracy by using change point detection

V Ahsani, A Sharma, C Hegde, S Knickerbocker… - Journal of Big Data …, 2020 - Springer
Probe-based speed data provide great value to agencies; especially, in areas which are not
feasibly covered by traffic sensors. However, as with sensors, probe data are not without …

Analytical techniques to use historical probe data to assess platooning potential on interstate corridors

W Kim, H Li, JK Mathew, DM Bullock - International Conference on …, 2020 - ascelibrary.org
There are multiple vendors that now provide real-time probe data based interstate speed
measurements at sub-1 mile, 1-min fidelity. This paper presents an analytical tool for …