Results 281 to 290 of about 4,001,629 (345)
Some of the next articles are maybe not open access.
Intra-City Traffic Data Visualization: A Systematic Literature Review
IEEE transactions on intelligent transportation systems (Print), 2021The increasing proportion of people living in urban areas causes well-known mobility issues such as pollution and congested roads. In addition to their heavy environmental impact, these issues negatively affect citizens’ quality of life.
Antoine Clarinval, Bruno Dumas
semanticscholar +1 more source
Research on City Traffic Flow Forecast Based on Graph Convolutional Neural Network
2021 IEEE 2nd International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering (ICBAIE), 2021With the continuous increase in the number of motor vehicles and the frequent occurrence of road congestion problems, it has become an important research topic to carry out comprehensive collection of traffic road network status information, processing ...
Yaohui Hu
semanticscholar +1 more source
Deep Transfer Learning for City-scale Cellular Traffic Generation through Urban Knowledge Graph
Knowledge Discovery and Data Mining, 2023The problem of cellular traffic generation in cities without historical traffic data is critical and urgently needs to be solved to assist 5G base station deployments in mobile networks.
Shiyuan Zhang +7 more
semanticscholar +1 more source
Simulating the city traffic complexity induced by traffic light periods
Chaos: An Interdisciplinary Journal of Nonlinear Science, 2021We revisited the global traffic light optimization problem through a cellular automata model, which allows us to address the relationship between the traffic lights and car routing. We conclude that both aspects are not separable. Our results show that a good routing strategy weakens the importance of the traffic light period for mid-densities, thus ...
S. Carrasco +3 more
openaire +2 more sources
A Spatial-Temporal Transformer Network for City-Level Cellular Traffic Analysis and Prediction
IEEE Transactions on Wireless Communications, 2023With the accelerated popularization of 5G applications, accurate cellular traffic prediction is becoming increasingly important for efficient network management.
Bo Gu +5 more
semanticscholar +1 more source
Anomaly Detection in Smart City Traffic Based on Time Series Analysis
International Conference on Software, Telecommunications and Computer Networks, 2019Anomaly detection in city traffic is playing a key role in intelligent transportation systems. Anomalies can be caused by different factors, such as accidents, extreme weather conditions or rush hours.
Mohammad Bawaneh, V. Simon
semanticscholar +1 more source
Selective Cross-City Transfer Learning for Traffic Prediction via Source City Region Re-Weighting
Knowledge Discovery and Data Mining, 2022Deep learning models have been demonstrated powerful in modeling complex spatio-temporal data for traffic prediction. In practice, effective deep traffic prediction models rely on large-scale traffic data, which is not always available in real-world ...
Yilun Jin, Kai Chen, Qian Yang
semanticscholar +1 more source
Privacy-Aware Traffic Flow Prediction Based on Multi-Party Sensor Data with Zero Trust in Smart City
ACM Trans. Internet Techn., 2022With the continuous increment of city volume and size, a number of traffic-related urban units (e.g., vehicles, roads, buildings, etc.) are emerging rapidly, which plays a heavy burden on the scientific traffic control of smart cities. In this situation,
Fan Wang +7 more
semanticscholar +1 more source
Synchronized flow in oversaturated city traffic
Physical Review E, 2013Based on numerical simulations with a stochastic three-phase traffic flow model, we reveal that moving queues (moving jams) in oversaturated city traffic dissolve at some distance upstream of the traffic signal while transforming into synchronized flow. It is found that, as in highway traffic [Kerner, Phys. Rev.
Kerner, Boris +5 more
openaire +2 more sources
Personalized Federated Learning for Cross-City Traffic Prediction
International Joint Conference on Artificial IntelligenceTraffic prediction plays an important role in urban computing. However, many cities face data scarcity due to low levels of urban development. Although many approaches transfer knowledge from data-rich cities to data-scarce cities, the centralized ...
Yu Zhang +5 more
semanticscholar +1 more source