Signal timing
View article: Evaluating Traffic Delay at Urban Intersections: Field Measurements vs. VISSIM Modeling (Barzani Namr Ring Road, Erbil)
Evaluating Traffic Delay at Urban Intersections: Field Measurements vs. VISSIM Modeling (Barzani Namr Ring Road, Erbil) Open
Urban traffic congestion remains a pressing challenge in Erbil, particularly at signalized intersections where delays contribute to fuel consumption, emissions, and commuter frustration. This study presents a calibrated microsimulation mod…
View article: Mitigating Grade Crossing Blockage Queues by Modifying Signal Timing Plans: A Network-Level Microsimulation Approach Using Train Detection and Probe-Based Traffic Data
Mitigating Grade Crossing Blockage Queues by Modifying Signal Timing Plans: A Network-Level Microsimulation Approach Using Train Detection and Probe-Based Traffic Data Open
View article: Survey data of the intersection.
Survey data of the intersection. Open
Capturing congestion propagation among different facilities at intersections in dynamic stochastic traffic environments poses significant challenges, particularly under oversaturated conditions. In this paper, we present an feedback fluid…
View article: Dynamic system state in demand scenarios 1.
Dynamic system state in demand scenarios 1. Open
Capturing congestion propagation among different facilities at intersections in dynamic stochastic traffic environments poses significant challenges, particularly under oversaturated conditions. In this paper, we present an feedback fluid…
View article: The main notations used in this paper.
The main notations used in this paper. Open
Capturing congestion propagation among different facilities at intersections in dynamic stochastic traffic environments poses significant challenges, particularly under oversaturated conditions. In this paper, we present an feedback fluid…
View article: Dynamic system state in demand scenarios 2.
Dynamic system state in demand scenarios 2. Open
Capturing congestion propagation among different facilities at intersections in dynamic stochastic traffic environments poses significant challenges, particularly under oversaturated conditions. In this paper, we present an feedback fluid…
View article: Signalized intersection in Kunshan.
Signalized intersection in Kunshan. Open
Capturing congestion propagation among different facilities at intersections in dynamic stochastic traffic environments poses significant challenges, particularly under oversaturated conditions. In this paper, we present an feedback fluid…
View article: Advanced Traffic Simulation
Advanced Traffic Simulation Open
The Advanced Traffic Simulation system models a realistic 4-way road intersection using smart traffic lights, sensors, and dynamic decision-making. Vehicles are generated in real-time, follow lane-based movement, and react to traffic signa…
View article: Feedback elimination for feedback queue.
Feedback elimination for feedback queue. Open
Capturing congestion propagation among different facilities at intersections in dynamic stochastic traffic environments poses significant challenges, particularly under oversaturated conditions. In this paper, we present an feedback fluid…
View article: A traffic signal timing plan for the intersection.
A traffic signal timing plan for the intersection. Open
A traffic signal timing plan for the intersection.
View article: A typical cross signalized intersection.
A typical cross signalized intersection. Open
Capturing congestion propagation among different facilities at intersections in dynamic stochastic traffic environments poses significant challenges, particularly under oversaturated conditions. In this paper, we present an feedback fluid…
View article: Advanced Traffic Simulation
Advanced Traffic Simulation Open
The Advanced Traffic Simulation system models a realistic 4-way road intersection using smart traffic lights, sensors, and dynamic decision-making. Vehicles are generated in real-time, follow lane-based movement, and react to traffic signa…
View article: Dynamic system state in demand scenarios 3.
Dynamic system state in demand scenarios 3. Open
Capturing congestion propagation among different facilities at intersections in dynamic stochastic traffic environments poses significant challenges, particularly under oversaturated conditions. In this paper, we present an feedback fluid…
View article: Value ranges of three representative points.
Value ranges of three representative points. Open
Capturing congestion propagation among different facilities at intersections in dynamic stochastic traffic environments poses significant challenges, particularly under oversaturated conditions. In this paper, we present an feedback fluid…
View article: Characteristics comparison of related literature.
Characteristics comparison of related literature. Open
Capturing congestion propagation among different facilities at intersections in dynamic stochastic traffic environments poses significant challenges, particularly under oversaturated conditions. In this paper, we present an feedback fluid…
View article: A feedback queueing network model for traffic signal control at intersections considering congestion propagation in dynamic stochastic environments
A feedback queueing network model for traffic signal control at intersections considering congestion propagation in dynamic stochastic environments Open
Capturing congestion propagation among different facilities at intersections in dynamic stochastic traffic environments poses significant challenges, particularly under oversaturated conditions. In this paper, we present an …
View article: Four signal stages for the intersection.
Four signal stages for the intersection. Open
Capturing congestion propagation among different facilities at intersections in dynamic stochastic traffic environments poses significant challenges, particularly under oversaturated conditions. In this paper, we present an feedback fluid…
View article: Leveraging Multi-Agent Deep Deterministic Policy Gradient (MADDPG) for Real-Time Traffic Signal Optimization
Leveraging Multi-Agent Deep Deterministic Policy Gradient (MADDPG) for Real-Time Traffic Signal Optimization Open
Kathmandu’s rapid urbanization has resulted in increasing traffic congestion attributed to 1.5 million registered vehicles in 2024, including a heterogeneous mix of motorcycles (60%), buses (15%), and non-motorized users (25%). This study …
View article: Event-Triggered Regulation of Mixed-Autonomy Traffic Under Varying Traffic Conditions
Event-Triggered Regulation of Mixed-Autonomy Traffic Under Varying Traffic Conditions Open
Modeling and congestion mitigation of mixed-autonomy traffic systems consisting of human-driven vehicles (HVs) and autonomous vehicles (AVs) have become increasingly critical with the rapid development of autonomous driving technology. Thi…
View article: Event-Triggered Regulation of Mixed-Autonomy Traffic Under Varying Traffic Conditions
Event-Triggered Regulation of Mixed-Autonomy Traffic Under Varying Traffic Conditions Open
Modeling and congestion mitigation of mixed-autonomy traffic systems consisting of human-driven vehicles (HVs) and autonomous vehicles (AVs) have become increasingly critical with the rapid development of autonomous driving technology. Thi…
View article: Real‐time network‐level traffic signal and trajectory optimization with connected automated and human‐driven vehicles
Real‐time network‐level traffic signal and trajectory optimization with connected automated and human‐driven vehicles Open
This paper introduces a real‐time framework designed to optimize intersection signal timing and vehicles’ trajectories across a network of intersections in a mixed environment of human‐driven and automated fleets. The network‐level optimiz…
View article: Analysis of Traffic Congestion in North Campus, Delhi University Using Continuous Time Models
Analysis of Traffic Congestion in North Campus, Delhi University Using Continuous Time Models Open
This project investigates traffic congestion within North Campus, Delhi University (DU), using continuous time simulations implemented in UXSim to model vehicle movement and interaction. The study focuses on several key intersections, iden…
View article: Analysis of Traffic Congestion in North Campus, Delhi University Using Continuous Time Models
Analysis of Traffic Congestion in North Campus, Delhi University Using Continuous Time Models Open
This project investigates traffic congestion within North Campus, Delhi University (DU), using continuous time simulations implemented in UXSim to model vehicle movement and interaction. The study focuses on several key intersections, iden…
View article: Optimizing Multi-Lane Intersection Performance in Mixed Autonomy Environments
Optimizing Multi-Lane Intersection Performance in Mixed Autonomy Environments Open
One of the main challenges in managing traffic at multilane intersections is ensuring smooth coordination between human-driven vehicles (HDVs) and connected autonomous vehicles (CAVs). This paper presents a novel traffic signal control fra…
View article: Optimizing Multi-Lane Intersection Performance in Mixed Autonomy Environments
Optimizing Multi-Lane Intersection Performance in Mixed Autonomy Environments Open
One of the main challenges in managing traffic at multilane intersections is ensuring smooth coordination between human-driven vehicles (HDVs) and connected autonomous vehicles (CAVs). This paper presents a novel traffic signal control fra…
View article: Evaluation and Improvement Strategies of Traffic Junctions in Iraq
Evaluation and Improvement Strategies of Traffic Junctions in Iraq Open
This paper introduces a comprehensive strategies of performance assessment of controlled intersections and roundabouts in Iraq. In general, intersection area is a critical location where road users can potentially collide with each other. …
View article: Inference of signal phase and timing with low penetration rate vehicle trajectories
Inference of signal phase and timing with low penetration rate vehicle trajectories Open
View article: Adaptive, Low-Cost Smart Traffic Management for Sana’a: A Context-Aware Approach to Urban Congestion in Low-Resource, Conflict-Affected Settings
Adaptive, Low-Cost Smart Traffic Management for Sana’a: A Context-Aware Approach to Urban Congestion in Low-Resource, Conflict-Affected Settings Open
Urban congestion remains a persistent challenge in rapidly growing cities of developing countries, particularly in regions burdened by prolonged conflict and infrastructural neglect. This study investigates an adaptive, low-cost traffic si…
View article: Development of a method for optimizing the traffic light cycle at intersections in mountainous areas (case study of cities in the North Caucasus)
Development of a method for optimizing the traffic light cycle at intersections in mountainous areas (case study of cities in the North Caucasus) Open
Introduction. Optimizing traffic signal control is a critical task for improving the efficiency of transportation systems in mountainous areas, where intersections operate under challenging terrain, steep gradients, and specific seasonal t…
View article: Speed variation at signal intersections (Time).
Speed variation at signal intersections (Time). Open
Due to a decline in psychological function, older drivers have a high incidence of crashes, especially at intersections. The study considered the characteristics of older drivers and designed a driving experiment that includes two scenari…