WITHDRAWN: Enhancement of Al-Rawad intersection by using synchro traffic simulation software: As case study

Mohammed, Humam H.; Yousif, Maysam Ali

doi:10.1016/j.matpr.2021.03.111

Cited by 2 publications

(1 citation statement)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Delay reductions ranging from 17% to 60% and savings in travel time from 18% to 53% were achieved. Joni and Hikmatt (2018) showed that applying the approach of building one flyover in one direction increased the LOS from F to C. Similar results are reported by (Mohammed and Yousif, 2021). Hasan (2019) stated that after implementing the proposed geometrical design, Al-Faris Al-Arabee intersection in Baghdad city is going to operate at LOS B for the existing condition and LOS D in the design year (2039).…”

Section: Introductionsupporting

confidence: 59%

Traffic Assessment And Optimization at Signalized Intersections: A Review Study

Hasan

Hussein²

2022

UOD

View full text Add to dashboard Cite

Signalized intersections are critical elements of the highway system, thus improving the attitude of these intersections significantly influences the overall operating performance of the highways in respect of delay and level of service (LOS). Reduction in capacity and increase in delay at signalized intersections could be a reflection of poor signal timing as well as inadequate road geometry variables. A better comprehension of the reasons that affect signalized intersections performance can be useful in reducing delay and improving the LOS. This study aims toreview some of thepublished works on the evaluation of traffic operation at signalized intersections using both Highway Capacity Manual 2010 (HCM 2010) and several optimization software. Different approaches were used to identify the main input data (traffic volume data, geometric characteristics, and signal timing) required for the HCM and different optimization proposals including video recording technique and field survey. The outcomes of thepublished investigations indicated to improve the operational performance of these intersections including cycle length, adding lanes, creating overpass, prohibiting approach traffic from the intersection, and a combination of some proposals.The research also seeks to add tothis review the limitations of using different software suchas SYNCHRO, CORSIM, HCS, SIDRAand the considerable variability of delays and LOS using these software’s so that it may be updated for future experimental and simulation investigations on signalized intersections

show abstract

Section: Introductionsupporting

confidence: 59%

Traffic Assessment And Optimization at Signalized Intersections: A Review Study

Hasan

Hussein²

2022

UOD

View full text Add to dashboard Cite

show abstract

Research on Intelligent Signal Timing Optimization of Signalized Intersection Based on Deep Reinforcement Learning Using Floating Car Data

Chen,

Xu,

et al. 2024

Transportation Research Record: Journal of the Transportation R

View full text Add to dashboard Cite

Adaptive signal control is a method that dynamically adjusts signal phases based on real-time traffic conditions, aiming to improve the efficiency of intersection light control. However, in practical applications, obtaining complete traffic spatiotemporal states at intersections is challenging given the limited data sources. To address this issue, this paper presents a novel deep reinforcement learning model, namely 3DQN-PSTER, which combines Dueling Deep Q Network, Double Deep Q Network, and Priority SumTree Experience Replay technology. This model effectively extracts traffic states from sampled floating car data (FCD) and achieves optimal timing schemes. To evaluate its performance, the proposed model is tested in a simulated intersection environment using actual intersection data. The model interacts with the environment by adjusting signal phases, updating traffic states, and obtaining optimal timing schemes. Simulation results demonstrate that the proposed model exhibits higher convergence efficiency and outperforms benchmark models. When applied, the reinforcement learning single control (RLSC) based on the 3DQN-PSTER model outperforms fixed-time signal control schemes and actuated signal control (ASC) schemes. Even in scenarios with low penetration ratios of FCD, RLSC still significantly outperforms ASC. Therefore, the signal timing optimization method proposed in this paper could greatly enhance intersection operation efficiency in both ideal overall data environments and partial states.

show abstract

WITHDRAWN: Enhancement of Al-Rawad intersection by using synchro traffic simulation software: As case study

Cited by 2 publications

References 6 publications

Traffic Assessment And Optimization at Signalized Intersections: A Review Study

Traffic Assessment And Optimization at Signalized Intersections: A Review Study

Research on Intelligent Signal Timing Optimization of Signalized Intersection Based on Deep Reinforcement Learning Using Floating Car Data

Contact Info

Product

Resources

About