Urban DAS Data Processing and Its Preliminary Application to City Traffic Monitoring. [PDF]
Distributed acoustic sensing (DAS) is an emerging technology for recording vibration signals via the optical fibers buried in subsurface conduits. Its relatively easy-to-deploy and high spatial and temporal sampling characteristics make DAS an appealing ...
Wang H, Chen Y, Min R, Chen Y.
europepmc +2 more sources
City-scale Vehicle Trajectory Data from Traffic Camera Videos
Vehicle trajectory data underpins various applications in intelligent transportation systems, such as traffic surveillance, traffic prediction, and traffic control.
Fudan Yu +6 more
doaj +2 more sources
A unified dataset for the city-scale traffic assignment model in 20 U.S. cities
City-scale traffic data, such as traffic flow, speed, and density on every road segment, are the foundation of modern urban research. However, accessing such data on a city scale is challenging due to the limited number of sensors and privacy concerns ...
Xiaotong Xu +4 more
doaj +2 more sources
Congestion avoidance in city traffic
SummaryThe number of vehicles on the road (worldwide) is constantly increasing, causing traffic jams and congestion especially in city traffic. Anticipatory vehicle routing techniques have thus far been applied to fairly small networked traffic scenarios and uniform traffic. We note here a number of limitations of these techniques and present a routing
Rahul Kala, Kevin Warwick
openaire +2 more sources
Short-Term Prediction of City Traffic Flow via Convolutional Deep Learning
Nowadays, traffic management and sustainable mobility are central topics for intelligent transportation systems (ITS). Thanks to new technologies, it is possible to collect real-time data to monitor the traffic situation and contextual information by ...
S. Bilotta +3 more
semanticscholar +1 more source
Autonomous Flight Trajectory Control System for Drones in Smart City Traffic Management
With the exponential growth of numerous drone operations ranging from infrastructure monitoring to even package delivery services, the integration of UAS in the smart city transportation systems is an actual task that requires radically new, sustainable (
D. Nguyen, J. Rohács, D. Rohács
semanticscholar +1 more source
Intelligent City Traffic Scheduling Optimization Based on Internet of Things Communication
The application of Internet of Things technology in the construction of smart city traffic system is the inevitable choice of smart city traffic system to promote the development of road traffic in the process of urban development.
Jingwen Jiang
semanticscholar +1 more source
Smart City Transportation: Deep Learning Ensemble Approach for Traffic Accident Detection [PDF]
The dynamic and unpredictable nature of road traffic necessitates effective accident detection methods for enhancing safety and streamlining traffic management in smart cities.
Victor A. Adewopo, Nelly Elsayed
semanticscholar +1 more source
Cross-city Few-Shot Traffic Forecasting via Traffic Pattern Bank [PDF]
Traffic forecasting is a critical service in Intelligent Transportation Systems (ITS). Utilizing deep models to tackle this task relies heavily on data from traffic sensors or vehicle devices, while some cities might lack device support and thus have few
Zhanyu Liu, Guanjie Zheng, Yanwei Yu
semanticscholar +1 more source
CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario [PDF]
Traffic signal control is an emerging application scenario for reinforcement learning. Besides being as an important problem that affects people's daily life in commuting, traffic signal control poses its unique challenges for reinforcement learning in ...
Huichu Zhang +9 more
semanticscholar +1 more source

