activity
20192024
most citedExtracting Trips from Multi-Sourced Data for Mobility Pattern Analysis: An App-Based Data Example

84 citations · 89 across the 5 of their papers we have counts for

collaborators

5 papers

physics.soc-ph2024★ 3 cited

Mitigating biases in big mobility data: a case study of monitoring large-scale transit systems

Feilong Wang, Xuegang Ban, Peng Chen +2

Big mobility datasets (BMD) have shown many advantages in studying human mobility and evaluating the performance of transportation systems. However, the quality of BMD remains poor…

cs.CR2024

Data Poisoning Attacks in Intelligent Transportation Systems: A Survey

Feilong Wang, Xin Wang, Xuegang Ban

Emerging technologies drive the ongoing transformation of Intelligent Transportation Systems (ITS). This transformation has given rise to cybersecurity concerns, among which data p…

eess.SP2022★ 2 cited

Infrastructure-enabled GPS Spoofing Detection and Correction

Feilong Wang, Yuan Hong, Jeff Ban

Accurate and robust localization is crucial for supporting high-level driving automation and safety. Modern localization solutions rely on various sensors, among which GPS has been…

stat.AP2019★ 84 cited

Extracting Trips from Multi-Sourced Data for Mobility Pattern Analysis: An App-Based Data Example

Feilong Wang, Jingxing Wang, Jinzhou Cao +3

Passively-generated data, such as GPS data and cellular data, bring tremendous opportunities for human mobility analysis and transportation applications. Since their primary purpos…

physics.soc-ph2019

Assessing Impacts of Abnormal Events on Travel Patterns Leveraging Passively Collected Trajectory Data

Feilong Wang, Xiangyang Guan, Cynthia Chen

Travel patterns can be impacted by abnormal events. Assessing the impacts has important implications for relief operations and improving preparedness or planning for future events.…