Traffic wave model based on vehicle-infrastructure cooperative and vehicle communication data | |
Yuan, Huazhi1; Zhang, Hongjia2; Liu, Xuelian3; Jiao, Xinlong3 | |
2020-11 | |
发表期刊 | Computational Intelligence |
ISSN | 08247935 |
卷号 | 36期号:4页码:1755-1772 |
摘要 | Urban trunk road system undertakes the main traffic trip, and congestion occurs frequently in rush hours. In order to clearly describe the propagation process of traffic waves in signalized intersections, and then optimize phase difference. This article proposes a kinematic model for the traffic wave based on the physical mechanism of car-following and the kinematic characteristics of the traffic wave propagation. The actual road traffic monitoring data was extracted from the vehicle-infrastructure cooperative system and vehicle internal communication system. Then we obtained the values of the stop-and-start wave velocity. Compared with the measured data, the results showed that the calculation of the wave velocity of the traffic wave model had a relative error of up to 5% vs the measured data, confirming the validity of the model. Through the analysis of the model, we obtained the difference in the effects on traffic wave velocity of the vehicle speed and the space headway. Our findings provide a theoretical basis for coordinated control and management of urban trunk road traffic and phase difference optimization of signalized intersections. Meanwhile, the research results also provide a theoretical basis for alleviating traffic congestion during the rush hour. © 2020 Wiley Periodicals LLC. |
关键词 | Acoustic wave velocity Cooperative communication Kinematics Motor transportation Roads and streets Street traffic control Vehicle to infrastructure Vehicle to vehicle communications Vehicles Wave propagationCo-operative systems Co-ordinated control Internal communication systems Kinematic characteristics Propagation process Road traffic monitoring Signalized intersection Vehicle communications |
DOI | 10.1111/coin.12346 |
收录类别 | EI ; SCIE |
语种 | 英语 |
WOS研究方向 | Computer Science |
WOS类目 | Computer Science, Artificial Intelligence |
WOS记录号 | WOS:000535617700001 |
出版者 | Blackwell Publishing Inc. |
EI入藏号 | 20202208770912 |
EI主题词 | Traffic congestion |
EI分类号 | 406.2 Roads and Streets - 716 Telecommunication ; Radar, Radio and Television - 722.3 Data Communication, Equipment and Techniques - 751.1 Acoustic Waves - 931.1 Mechanics |
来源库 | Compendex |
分类代码 | 406.2 Roads and Streets - 716 Telecommunication; Radar, Radio and Television - 722.3 Data Communication, Equipment and Techniques - 751.1 Acoustic Waves - 931.1 Mechanics |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | https://ir.lut.edu.cn/handle/2XXMBERH/132300 |
专题 | 土木工程学院 |
通讯作者 | Zhang, Hongjia |
作者单位 | 1.Lanzhou Univ Technol, Sch Civil Engn, Lanzhou, Peoples R China; 2.Changan Univ, Sch Automobile, Xian, Peoples R China; 3.Ningbo Univ Technol, Sch Mech Engn, Ningbo, Peoples R China |
第一作者单位 | 兰州理工大学 |
第一作者的第一单位 | 兰州理工大学 |
推荐引用方式 GB/T 7714 | Yuan, Huazhi,Zhang, Hongjia,Liu, Xuelian,et al. Traffic wave model based on vehicle-infrastructure cooperative and vehicle communication data[J]. Computational Intelligence,2020,36(4):1755-1772. |
APA | Yuan, Huazhi,Zhang, Hongjia,Liu, Xuelian,&Jiao, Xinlong.(2020).Traffic wave model based on vehicle-infrastructure cooperative and vehicle communication data.Computational Intelligence,36(4),1755-1772. |
MLA | Yuan, Huazhi,et al."Traffic wave model based on vehicle-infrastructure cooperative and vehicle communication data".Computational Intelligence 36.4(2020):1755-1772. |
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