Analysis of the Impact of Intelligent Traffic Signals on Reducing Urban Traffic Congestion
DOI:
https://doi.org/10.54691/43k7t665Keywords:
Intelligent Traffic Signal; Evaluation Index; Implementation Effect; Social Benefits.Abstract
Based on the urban traffic congestion problem, this study takes 143 intersections in Haidian District and 289 intersections in Futian District as practical objects, constructs an intelligent traffic signal evaluation index system, and uses multi-source data collection and machine learning analysis methods to quantitatively evaluate the implementation effect of the system. The study finds that the average travel time is reduced by 32.5%, the energy consumption index is decreased by 28.7%, and the annual economic benefit is 4.43 billion yuan. The survey data shows that the public satisfaction rate reaches 87.6%, and the system reliability reaches 99.2%. The evaluation results indicate that the intelligent traffic signal system has significant effects on improving traffic operation efficiency and enhancing social benefits.
Downloads
References
[1] Purnama Jaya G N , Mansyur U .Analysis of Junction Congestion and ITS Handling Efforts on Urban Roads[J].Jurnal Indonesia Sosial Teknologi, 2024, 5(8).
[2] Chu J , Wang B , Hou Q .Research on intelligent operation and maintenance system of urban traffic signal[J]. 2023.
[3] Chuchottaworn N , Raothanachonkun P .The study of congestion factors for optimal entrance gate allocation ina seaport: a micro-level scenario model analysis[J].Journal of International Logistics & Trade, 2024, 22(3).
[4] Pechteep P , Luathep P , Jaensirisak S ,et al.Analysis of Factors Influencing Driver Yielding Behavior at Midblock Crosswalks on Urban Arterial Roads in Thailand[J].Sustainability (2071-1050), 2024, 16(10).
[5] Akahane H , Honda S , Ihoda M ,et al.An Analysis of Probe Data for Delay Time Feedback Control of Traffic Signals[J].JSTE Journal of Traffic Engineering, 2023, 9(2):A_129-A_137.
[6] Pande A , Hummer J E ,amehrara@olemiss.edu,et al.Introducing the concept of alternative intersections with three-phase traffic signals[J]. 2024.
[7] Hao Z ,Boel, René.Convergence analysis on control for traffic signals in urban road network [J]. Transportation Research Part B: Methodological, 2022, 165.
[8] Subramaniam M , Rambabu C , Chandrasekaran G ,et al.A Traffic Density-Based Congestion Control Method for VANETs[J].Wireless Communications and Mobile Computing, 2022.
[9] Sucha M .Analysis of Traffic Organisation in the Kiss-and-Fly Zone of Kraków Airport: Eye-Tracking Study[J].Applied Sciences, 2024, 14.
[10] Ramachandran L , Abitha V , Priyadharshini J ,et al.Intelligent Based Real Time Traffic Monitoring in Smart Cities[J].Irish Interdisciplinary Journal of Science & Research, 2023.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Frontiers in Science and Engineering

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.




