Tianjun Lu

发表

External Validation of National Land Use Regression Models for PM2.5 Using a Low-cost Sensor Network

Tianjun Lu, Y Wan, M Bechle, 2019 .

Leveraging Google Place of Interest (POI) Data, Crowdsourcing, and Machine Learning to Predict Urban NO2 Concentrations for the Contiguous U.S.

Steve Hankey, Wenwen Zhang, Tianjun Lu, 2018 .

Spatial models of active travel in small communities: Merging the goals of traffic monitoring and direct-demand modeling

Andrew Mondschein, Steve Hankey, Tianjun Lu, 2017 .

Header Table Recursion Algorithm for Mining Frequent Patterns

Tianjun Lu, Si Tian, Shui Wang, 2013 .

An Algorithm of Top-k High Utility Itemsets Mining over Data Stream

Yang Liu, Le Wang, Tianjun Lu, 2014, J. Softw..

A particle swarm optimization algorithm for hybrid wireless sensor networks coverage

Tianjun Lu, Zhaohe Huang, 2012, 2012 IEEE Symposium on Electrical & Electronics Engineering (EEESYM).

A Weighted Semi-Supervised Dimensionality Reduction Method Based Locally Linear Graph

Tianjun Lu, 2014 .

Designing a Bicycle and Pedestrian Traffic Count Program to Estimate Performance Measures on Streets and Sidewalks in Blacksburg, VA

Andrew Mondschein, Steve Hankey, Tianjun Lu, 2016 .

Merging Traffic Monitoring and Direct-Demand Modeling to Assess Spatial Patterns of Annual Average Daily Bicycle and Pedestrian Traffic

Andrew Mondschein, Steve Hankey, Tianjun Lu, 2017 .

Adding temporal information to direct-demand models: Hourly estimation of bicycle and pedestrian traffic in Blacksburg, VA

Andrew Mondschein, Steve Hankey, Tianjun Lu, 2018, Transportation Research Part D: Transport and Environment.

Designing a bicycle and pedestrian traffic monitoring program to estimate annual average daily traffic in a small rural college town

Andrew Mondschein, Steve Hankey, Tianjun Lu, 2017 .