Modifying signal retiming procedures and policies by utilizing high-fidelity modeling with medium-resolution traffic data
N Dobrota, A Stevanovic… - Transportation research …, 2022 - journals.sagepub.com
Current signal retiming policies are deficient in recognizing the potential of emerging traffic
datasets and simulation tools to improve signal timings. Consequently, current practice …
datasets and simulation tools to improve signal timings. Consequently, current practice …
New Approach for Estimating Intersection Control Delay from Passive Traffic Sensors at Network Level
In junction traffic operations, vehicle delay is one of the most essential performance
measures of effectiveness. It allows traffic engineers to assess the performance of a traffic …
measures of effectiveness. It allows traffic engineers to assess the performance of a traffic …
Harnessing Digital Twin Technology for Adaptive Traffic Signal Control: Improving Signalized Intersection Performance and User Satisfaction
In this study, a digital twin (DT) technology-based adaptive traffic signal control (ATSC)
framework is presented for improving signalized intersection performance and user …
framework is presented for improving signalized intersection performance and user …
Performance Evaluation of Reinforcement Learning-Based Adaptive Signal Control Deployment in Urban Network
The adaptive traffic control system (ATCS) has shown great potential to address traffic
congestion, fuel consumption, and air pollution issues because of its strong adaption to …
congestion, fuel consumption, and air pollution issues because of its strong adaption to …
Enhancement of Traffic Signal Retiming Process Using Novel Methods and Traffic Signal Performance Measures
N Dobrota - 2022 - search.proquest.com
Traffic signal control represents an effective strategy for temporal and spatial allocation of
intersection capacity to provide safe and efficient traffic operations in urban environments …
intersection capacity to provide safe and efficient traffic operations in urban environments …