Development and Application of Digitally Intelligent Traffic Signal Lights in the "Internet+" Era

DOI: https://doi.org/10.62517/jes.202302302

Author(s)

Haoxiang Yang

Affiliation(s)

College of Transportation Engineering, Chang'an University, Xi'an, Shaanxi, China

Abstract

Traffic signal lights are an important part of the modern urban transportation system and play a vital role in the control and management of urban road traffic. Based on the research background of the "Internet+" era, this paper expounds the combination and spatial application configuration of traffic lights in China, and deeply analyzes the advanced functions of traffic lights after intelligent transformation and upgrading, as well as the convenient and green travel experience provided. By using the example analysis method, through the flow data collection of each entrance road at the intersection of Weiyang Road and Fengcheng 2nd Road in Weiyang District, Xi'an City, with the help of Synchro software, the difference in control efficiency between the use of traditional timing signal lights and the use of intelligent induction collaborative signals is compared, and the necessity of the advancement and development of digital intelligent signal lights is further demonstrated.

Keywords

Traffic Signal Lights; Digital Intelligence; Induction and Coordinated Control; Traffic Congestion; Simulation Optimization

References

[1] Zhejiang Traffic Police has changed from "looking at the lights on cars" to "looking at the lights on cars" and using "green technology" to improve the efficiency of vehicle traffic. Auto & Safety, 2022(07):46-46 [2] Zhang Na. Discussion on the application of synaesthetic computing integration in the Internet of Vehicles. Science and Technology & Innovation, 2023(17):156-159 [3] Hu Yuxia and He Fang. Research on smart transportation system based on cloud-edge collaboration. Science & Technology Information, 2023,21(16):70-73 [4] Wu Qinghua. Design of solar traffic light system based on microcontroller control. Electronics World, 2018(12):145-146 [5] Han Xiaoyu, Thoughts on improving the soft power of transportation culture in the context of accelerating the construction of a strong transportation country. Transportation Enterprise Management, 2023,38(02):17-19 [6] Han Xin, With smart transportation, traveling is more convenient. China Daily, 2023-08-11 [7] R. M. Savithramma and R. Sumath. Intelligent traffic signal controller for heterogeneous traffic using reinforcement learning. Green Energy and Intelligent Transportation, 2023,6(02):124-124 [8] Yijing Huang, Wei Wanyue, He Yang, et al. Intelligent algorithms for incident detection and management in smart transportation systems, Computers and Electrical Engineering, 2023 (110) 39-39: [9] Wang Bin, He Zhengkun, Sheng Jinfang, et al. Deep Reinforcement Learning for Traffic Light Timing Optimization, Processes, 2022,11(10):58-58 [10] Čičić Mladen, Pasquale Cecilia, Siri Silvia, et al. Platoon-actuated variable area mainstream traffic control for bottleneck decongestion, European Journal of Control, 2022(68):87-87