Quasi Real-Time Evaluation System for Seismic Disaster Based on Internet of Things

Author(s):  
Zhikui Chen ◽  
Zhenyu Li ◽  
Jing Li ◽  
Jianyun Chen ◽  
Yang Liu
Author(s):  
Kazuhiko Goto ◽  
Hiroki Fukuda ◽  
Takao Yamasaki ◽  
Shozo Tobimatsu ◽  
Takenao Sugi ◽  
...  

2014 ◽  
Vol 1049-1050 ◽  
pp. 1753-1758 ◽  
Author(s):  
Si Jun Zhang ◽  
Shu Yan Chen

Real-time broadcast system of public transport crowding index belongs to the broadcast system of urban public transport environment in ITS. The remaining seats and vehicle weight of the bus can effectively reflect the current crowding of public transport. This paper proposes a real-time broadcast system about the crowding index in public transport based on the Internet of things. The system can be divided into four submodules: wireless sensor network node, Sink node, terminal analysis and evaluation system and site display platform.Operating datas in public transport collected by wireless sensor networking node are sent to terminal analysis and evaluation system by GPRS wireless communication mode. This system can help people choose the best travel route. It may be helpful for managers to make a better traffic assignment.


Author(s):  
SeongYoon Shin ◽  
OhHyung Kang ◽  
SeongEun Baek ◽  
KiHong Park ◽  
YangWon Rhee ◽  
...  

Author(s):  
S. Miller ◽  
D. Morgan ◽  
H. Silverman ◽  
M. Karam ◽  
N. Dixon

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Le-Ning Wang

To effectively evaluate the traffic safety risk of urban expressways in real time and ensure their traffic safety and smoothness, a real-time evaluation method of vehicle conflict risk of an urban expressway based on smartphone GPS data was proposed. We screened and processed smartphone GPS data to obtain vehicle behavior data, including acceleration and angular acceleration, and road state data, including average vehicle speed. Urban expressways were divided into four categories, closed straight section, closed curve section, vehicle entry section, and vehicle exit section; the evaluation indexes of abnormal vehicle behavior were established. Based on the improved entropy weight method, the vehicle conflict risk entropy was established to distribute the weight of different types of abnormal behaviors of vehicles. The evaluation system of vehicle conflict risk entropy was applied to the vehicle behavior data. Urban Expressways with more abnormal vehicle behavior were obtained to evaluate the risk of vehicle conflict in real time. The results showed that the easily obtained smartphone GPS data may be effectively used to analyze the abnormal behavior of vehicles, identify vehicle conflict risk points hidden in urban expressways in real time to provide effective methods for batch and dynamic real-time evaluations of vehicle conflict risks on urban expressways, and improve the traffic safety service level of urban expressways.


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