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Synthesizing Realistic Trajectory Data With Differential Privacy
IEEE transactions on intelligent transportation systems (Print), 2023Vehicle trajectory data is critical for traffic management and location-based services. However, the released trajectories raise serious privacy concerns because they contain sensitive information such as homes and workplaces.
Xin-Yue Sun +6 more
semanticscholar +1 more source
IEEE transactions on intelligent transportation systems (Print), 2023
It aims to improve the efficiency of information collection and extraction in the current intelligent transportation system, and accurately mine the vehicle trajectory data By using Artificial Intelligence (AI) and Deep Learning methods, the trajectory ...
Peng Zhang +5 more
semanticscholar +1 more source
It aims to improve the efficiency of information collection and extraction in the current intelligent transportation system, and accurately mine the vehicle trajectory data By using Artificial Intelligence (AI) and Deep Learning methods, the trajectory ...
Peng Zhang +5 more
semanticscholar +1 more source
Accident Analysis and Prevention, 2023
Trajectory data of road users play a crucial role in transportation engineering and traffic safety research. Previous vehicle trajectory data, including naturalistic driving data, trajectory data captured by drones and traffic cameras, have greatly ...
Junhua Wang +2 more
semanticscholar +1 more source
Trajectory data of road users play a crucial role in transportation engineering and traffic safety research. Previous vehicle trajectory data, including naturalistic driving data, trajectory data captured by drones and traffic cameras, have greatly ...
Junhua Wang +2 more
semanticscholar +1 more source
A high-resolution trajectory data driven method for real-time evaluation of traffic safety.
Accident Analysis and Prevention, 2021Real-time safety evaluation is essential for developing proactive safety management strategy and improving the overall traffic safety. This paper proposes a method for real-time evaluation of road safety, in which traffic states and conflicts are ...
Yu-Ping Hu +5 more
semanticscholar +1 more source
Computers, Environment and Urban Systems, 2021
Extracting hidden information from human mobility patterns is one of the long-standing challenges of urban studies. In addition, exploring the relationship between urban functional structure and traffic spatial interaction pattern has long been of ...
Sheng Hu +6 more
semanticscholar +1 more source
Extracting hidden information from human mobility patterns is one of the long-standing challenges of urban studies. In addition, exploring the relationship between urban functional structure and traffic spatial interaction pattern has long been of ...
Sheng Hu +6 more
semanticscholar +1 more source
L2MM: Learning to Map Matching with Deep Models for Low-Quality GPS Trajectory Data
ACM Transactions on Knowledge Discovery from Data, 2022Map matching is a fundamental research topic with the objective of aligning GPS trajectories to paths on the road network. However, existing models fail to achieve satisfactory performance for low-quality (i.e., noisy, low-frequency, and non-uniform ...
Lin-Li Jiang +2 more
semanticscholar +1 more source
Deploying Traffic Smoothing Cruise Controllers Learned from Trajectory Data
IEEE International Conference on Robotics and Automation, 2022Autonomous vehicle-based traffic smoothing con-trollers are often not transferred to real-world use due to challenges in calibrating many-agent traffic simulators.
Nathan Lichtlé +5 more
semanticscholar +1 more source
MDTP: A Multi-source Deep Traffic Prediction Framework over Spatio-Temporal Trajectory Data
Proceedings of the VLDB Endowment, 2021Traffic prediction has drawn increasing attention for its ubiquitous real-life applications in traffic management, urban computing, public safety, and so on.
Ziquan Fang +4 more
semanticscholar +1 more source
DuARE: Automatic Road Extraction with Aerial Images and Trajectory Data at Baidu Maps
Knowledge Discovery and Data Mining, 2022The task of road extraction has aroused remarkable attention due to its critical role in facilitating urban development and up-to-date map maintenance, which has widespread applications such as navigation and autonomous driving. Existing solutions either
Jianzhong Yang +6 more
semanticscholar +1 more source
IEEE transactions on intelligent transportation systems (Print), 2022
The explosive growth of road vehicles especially the private cars has brought unprecedented pressure to a series of problems in urban transportation systems, such as traffic congestion and environmental pollution.
Zhu Xiao +3 more
semanticscholar +1 more source
The explosive growth of road vehicles especially the private cars has brought unprecedented pressure to a series of problems in urban transportation systems, such as traffic congestion and environmental pollution.
Zhu Xiao +3 more
semanticscholar +1 more source

