Real Time Traffic Flow Monitoring and Congestion Prediction Driven by Deep Learning

doi:10.1145/3641343.3641426

科研成果详情

题名	Real Time Traffic Flow Monitoring and Congestion Prediction Driven by Deep Learning
作者	Wu，Yuqian
发表日期	2023-12-08
会议录名称	ACM International Conference Proceeding Series
页码	406-410
摘要	Spatiotemporal data, such that collected from road traffic monitoring and congestion prediction, exhibits temporal and geographical relationships. This investigation employs a two-pronged strategy, first investigating spatiotemporal characteristics and then creating a model for traffic flow monitoring and congestion prediction based on a deep neural network. With the use of a graph convolutional neural network and an attention mechanism, this research is the first to propose a method for learning spatial features of traffic flows. To improve our expression and the capacity to extract relevant spatial attributes, we introduce node adaptive learning and apply different weights to the degree of mutual influence across different nodes. Furthermore, we present a temporal convolutional network-based learning approach for temporal features of traffic flow, which uses causal convolution to guarantee that input and output data dimensions are consistent. Long-length spatiotemporal sequence data benefit greatly from the dilated convolution's ability to dynamically regulate the receptive field by adjusting the sampling interval. Using spatiotemporal graphs, a system is developed to monitor and foresee traffic congestion. In order to learn feature information, mode-specific parameter values, and overall model performance, this model combines a graph convolutional neural network with an attention mechanism.
关键词	Congestion prediction Deep learning Neural network Traffic flow monitoring
DOI	10.1145/3641343.3641426
URL	查看来源
语种	英语English
Scopus入藏号	2-s2.0-85192548901
引用统计
文献类型	会议论文
条目标识符	https://repository.uic.edu.cn/handle/39GCC9TT/11554
专题	北师香港浸会大学
通讯作者	Wu，Yuqian
作者单位	Beijing Normal University-Hong Kong Baptist University United International College,Zhuhai,Guangdong,519087,China
第一作者单位	北师香港浸会大学
通讯作者单位	北师香港浸会大学
推荐引用方式 GB/T 7714	Wu，Yuqian. Real Time Traffic Flow Monitoring and Congestion Prediction Driven by Deep Learning[C], 2023: 406-410.