A5103086007- Human Mobility and Location-Based Analysis
- Traffic Prediction and Management Techniques
- Data Management and Algorithms
- Transportation Planning and Optimization
- Urban Transport and Accessibility
- Traffic and Road Safety
- Air Traffic Management and Optimization
- Transportation and Mobility Innovations
- Wikis in Education and Collaboration
- Smart Parking Systems Research
- Recommender Systems and Techniques
- Traffic control and management
- Urban and Freight Transport Logistics
- Aviation Industry Analysis and Trends
- Semantic Web and Ontologies
- Autonomous Vehicle Technology and Safety
- Methane Hydrates and Related Phenomena
- Earthquake Detection and Analysis
- Geophysics and Gravity Measurements
- Geographic Information Systems Studies
- Data-Driven Disease Surveillance
- Natural Language Processing Techniques
- Economic and Environmental Valuation
- Evaluation Methods in Various Fields
- Cryptography and Data Security
Nanjing University of Aeronautics and Astronautics
2020-2025
Pacific Northwest National Laboratory
2016-2024
Chinese Academy of Sciences
2024
Institute of Information Engineering
2024
Shanghai Civil Aviation College
2023
Huaiyin Institute of Technology
2020-2023
Civil Aviation Administration of China
2023
University of Minnesota
2010-2022
Jingdong (China)
2020-2022
Hong Kong Baptist University
2022
The popularity of location-based social networks provide us with a new platform to understand users' preferences based on their location histories. In this paper, we present and preference-aware recommender system that offers particular user set venues (such as restaurants) within geospatial range the consideration both: 1) User preferences, which are automatically learned from her history 2) Social opinions, mined histories local experts. This can facilitate people's travel not only near...
The imbalance between air traffic capacity and demand, especially in the terminal maneuvering area, constrains development of civil aviation industry. To enhance capacity, providing aircraft with optimal trajectories is way forward. key challenge building a trajectory optimization model lies embedding controllers’ operation experience into process. Previous efforts proposed data-driven method to learn from historical data for use, which limited by issues insufficient quantity diversity data....
Abstract The formation of carbonaceous deposits (coke) in zeolite pores during catalysis leads to temporary deactivation catalyst, necessitating regeneration steps, affecting throughput, and resulting partial permanent loss catalytic efficiency. Yet, even date, the coke molecule distribution is quite challenging study with high spatial resolution from surface bulk catalyst particles at a single particle level. To address this challenge we investigated molecules HZSM-5 after ethanol...
Illegal vehicle parking is a common urban problem faced by major cities in the world, as it incurs traffic jams, which lead to air pollution and accidents. Traditional approaches detect illegal events rely highly on active human efforts, e.g., police patrols or surveillance cameras. However, these are extremely ineffective cover large city. The massive high quality sharing bike trajectories from Mobike offer us with unique opportunity design ubiquitous detection system, most of happen at...
Finding an ideal home is a difficult and laborious process. One of the most crucial factors in this process reachability between location concerned points interest, such as places work recreational facilities. However, importance unrecognized extant real estate systems. By characterizing user requirements analytical tasks context finding homes, we designed ReACH, novel visual analytics system that assists people finding, evaluating, choosing based on multiple criteria, including...
In this paper, we provide a detailed analysis on the venue popularity in Foursquare, leading location-based social network. By collecting 2.4 million venues from 14 geographic regions all over world, study common characteristics of popular venues, and make following observations. First, with more complete profile information are likely to be popular. Second, Food category attract most (43%) public tips (comments) by users, Travel & Transport is highest per check-ins, i.e., each attracts...
Due to the energy security concern, our society is witnessing a surge of EV fleet applications, e.g., public taxi systems. A major issue impeding an even more widespread adoption EVs range anxiety, which due several factors including limited battery capacity, availability charging stations, and long time compared traditional gasoline vehicles. By analyzing accessible real-world system-wide datasets, we observe that current drivers often suffer from unpredictable, waiting times at temporally...
With the advances of web-of-things, human mobility, e.g., GPS trajectories vehicles, sharing bikes, and mobile devices, reflects people’s travel patterns preferences, which are especially crucial for urban applications such as planning business location selection. However, collecting a large set mobility data is not easy because privacy commercial concerns, well high cost to deploy sensors long time collect data, in newly developed cities. Realizing this, this paper, based on intuition that...
The objective of public resource allocation, e.g., the deployment billboards, surveillance cameras, base stations, trash bins, is to serve more people. However, due dynamics human mobility patterns, people are distributed unevenly on spatial and temporal domains. As a result, in many cases, redundant resources have be deployed meet crowd coverage requirements, which leads high costs low usage. Fortunately, with development unmanned vehicles, dynamic allocation those becomes possible. To this...
The primary objective of this paper is to explore the spatial analysis bikeshare ridership with a consideration diversity across different station categories using smart card data and points interests (POIs) data. trip records were obtained from Citi Bike system New York City. POI in vicinity each collected through Google Places API. K-means clustering method was employed classify stations into five categories. Then, geographically weighted regression (GWR) applied establish relationship...
An unconventional left-turn treatment called contraflow lane (CLL) design has been increasingly used in China to relieve traffic congestion associated with movements at signalized intersections. This study proposed a procedure for estimating the queue length intersections CLL design. Field data were collected six approaches five city of Handan, China, and 40 h recorded. A binary logit model was developed estimate probability driver stopping presignal when there are still vacant spaces...