Analysis of Performance Limitations in Optical Wireless Communication System Due to Laser Source Impairment (RIN) and Background Noise

Mohsen, Mohammed Abdulhafedh; Hassan, Mazen Radhe; Duraikannan, Shankar

doi:10.1007/978-981-10-1023-1_52

Advanced Computing and Communication Technologies

2016

DOI: 10.1007/978-981-10-1023-1_52

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Analysis of Performance Limitations in Optical Wireless Communication System Due to Laser Source Impairment (RIN) and Background Noise

Mohammed Abdulhafedh Mohsen

Mazen Radhe Hassan

Shankar Duraikannan

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Analysis and Prediction of Overloaded Extra-Heavy Vehicles for Highway Safety Using Machine Learning

Lin

et al. 2020

Mobile Information Systems

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Along with the prosperity and rapid development of the national economy, the transportation industry has rapidly developed in China. However, overloaded vehicles have been causing frequent traffic accidents. Thus, to alleviate or resolve the corresponding problems associated with highway engineering safety and the market economy, an improved technique for overload management is urgently required. In this study, to analyze the overload data on expressways and highways in China, we developed a machine learning model by comparing the performances of cluster analysis, backpropagation neural network (BPNN), generalized regression neural network (GRNN), and wavelet neural network (WNN) in analyzing global and local time series overload data. In a case study, our results revealed the trends of overloading on highways in Jiangsu Province. Given sufficient data, BPNN performed better than GRNN and WNN. As the amount of training data increased, GRNN performed better, but the runtime increased. WNN had the shortest runtime among the three methods and could reflect the future trends of the overload rate in the monthly data prediction of overload. Our model provides information with potential value for expressway network management departments through data mining. This information could help management departments allocate resources reasonably and optimize the information utilization rate.

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Analysis and Prediction of Overloaded Extra-Heavy Vehicles for Highway Safety Using Machine Learning

Lin

et al. 2020

Mobile Information Systems

View full text Add to dashboard Cite

show abstract

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Analysis of Performance Limitations in Optical Wireless Communication System Due to Laser Source Impairment (RIN) and Background Noise

Cited by 1 publication

References 6 publications

Analysis and Prediction of Overloaded Extra-Heavy Vehicles for Highway Safety Using Machine Learning

Analysis and Prediction of Overloaded Extra-Heavy Vehicles for Highway Safety Using Machine Learning

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