[HTML][HTML] Recent advances in traffic signal performance evaluation

D Leitner, P Meleby, L Miao - Journal of traffic and transportation …, 2022 - Elsevier
Signal retiming is a prominent way that transportation agencies use to fight congestion and
change of traffic pattern. Performance evaluations of traffic conditions at signalized …

Traffic light optimization with low penetration rate vehicle trajectory data

X Wang, Z Jerome, Z Wang, C Zhang, S Shen… - Nature …, 2024 - nature.com
Traffic light optimization is known to be a cost-effective method for reducing congestion and
energy consumption in urban areas without changing physical road infrastructure. However …

Comparison of arrivals on green estimations from vehicle detection and connected vehicle data

ED Saldivar-Carranza, H Li, S Gayen… - Transportation …, 2023 - journals.sagepub.com
Many agencies use Automated Traffic Signal Performance Measures (ATSPMs), which
require vehicle detection and communication equipment, to evaluate traffic signal efficiency …

[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 …

[HTML][HTML] Deriving verified vehicle trajectories from LiDAR sensor data to evaluate traffic signal performance

ED Saldivar-Carranza, DM Bullock - Future Transportation, 2024 - mdpi.com
Advances and cost reductions in Light Detection and Ranging (LiDAR) sensor technology
have allowed for their implementation in detecting vehicles, cyclists, and pedestrians at …

Implementing and Assessing the Performance Evaluation Methodology of Urban Street Facilities for Motorized Vehicles in the Highway Capacity Manual Using …

J Xu, Z Tian, A Wang, A Jayankura - Journal of Transportation …, 2024 - ascelibrary.org
Evaluating arterial operational performance plays a pivotal role in arterial system
management and enhancement. As a fundamental reference guide for traffic engineers, the …

Identifying Vehicle Turning Movements at Intersections from Trajectory Data

ED Saldivar-Carranza, H Li… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Automatically generating performance measures for signalized intersections is important for
agencies to assess how individual movements perform at various intersections. This …

Comparison at Scale of Traffic Signal Cycle Split Failure Identification from High-Resolution Controller and Connected Vehicle Trajectory Data

ED Saldivar-Carranza, S Gayen, H Li, DM Bullock - Future Transportation, 2024 - mdpi.com
Split failures have been a conventional method to estimate overcapacity at signalized
intersections. Currently, split failures are estimated from high-resolution (HR) traffic signal …

[HTML][HTML] Impact of In-Cab Alerts on Connected Truck Speed Reductions in Indiana

J Desai, ED Saldivar-Carranza, RS Sakhare… - Vehicles, 2024 - mdpi.com
Connected vehicle data have the potential to warn motorists of impending slowdowns and
congestion in real time. Multiple data providers have recently begun providing in-cab alerts …

Data-driven decision support platform for selection of intersections for adaptive traffic signal control

N Mitrovic, N Dobrota, MB Pereira… - Transportation …, 2023 - journals.sagepub.com
Adaptive traffic control systems (ATCSs) represent one of the most advanced traffic signal
control strategies currently deployed in urban areas worldwide. One of the most important …