Growing the charging station network for electric vehicles with trajectory data analytics
Electric vehicles (EVs) have undergone an explosive increase over recent years, due to the
unparalleled advantages over gasoline cars in green transportation and cost efficiency …
unparalleled advantages over gasoline cars in green transportation and cost efficiency …
St-siamesenet: Spatio-temporal siamese networks for human mobility signature identification
Given the historical movement trajectories of a set of individual human agents (eg,
pedestrians, taxi drivers) and a set of new trajectories claimed to be generated by a specific …
pedestrians, taxi drivers) and a set of new trajectories claimed to be generated by a specific …
DHPA: Dynamic human preference analytics framework: A case study on taxi drivers' learning curve analysis
Many real-world human behaviors can be modeled and characterized as sequential
decision-making processes, such as a taxi driver's choices of working regions and times …
decision-making processes, such as a taxi driver's choices of working regions and times …
Unveiling taxi drivers' strategies via cgail: Conditional generative adversarial imitation learning
Smart passenger-seeking strategies employed by taxi drivers contribute not only to drivers'
incomes, but also higher quality of service passengers received. Therefore, understanding …
incomes, but also higher quality of service passengers received. Therefore, understanding …
Self-supervised pre-training for robust and generic spatial-temporal representations
Advancements in mobile sensing, data mining, and artificial intelligence have revolutionized
the collection and analysis of Human-generated Spatial-Temporal Data (HSTD), paving the …
the collection and analysis of Human-generated Spatial-Temporal Data (HSTD), paving the …
The optimal distribution of electric-vehicle chargers across a city
It has been estimated that the cumulative sales of Electric Vehicles (EVs) will be up to 5.9
million and the stock of EVs will be up to 20 million by 2020 [1]. As the number of EVs is …
million and the stock of EVs will be up to 20 million by 2020 [1]. As the number of EVs is …
CGAIL: Conditional generative adversarial imitation learning—An application in taxi Drivers' strategy learning
Smart passenger-seeking strategies employed by taxi drivers contribute not only to drivers'
incomes, but also higher quality of service passengers received. Therefore, understanding …
incomes, but also higher quality of service passengers received. Therefore, understanding …
Dissecting the learning curve of taxi drivers: A data-driven approach
Many real world human behaviors can be modeled and characterized as sequential
decision making processes, such as taxi driver's choices of working regions and times. Each …
decision making processes, such as taxi driver's choices of working regions and times. Each …
TrafficGAN: Off-deployment traffic estimation with traffic generative adversarial networks
The rapid progress of urbanization has expedited the process of urban planning, eg, new
residential, commercial areas, which in turn boosts the local travel demand. We propose a …
residential, commercial areas, which in turn boosts the local travel demand. We propose a …
A Deep Reinforcement Learning Model for a Two-layer Scheduling Policy in Urban Public Resources
C Zhang, F Wu, H Wang, H Zhang… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
The issue of efficient scheduling and deployment of urban public resources has become
increasingly important with the development of technological innovations and the mobility of …
increasingly important with the development of technological innovations and the mobility of …