activity
20162019
most citedEstimating multi-year 24/7 origin-destination demand using high-granular multi-source traffic data

58 citations · 135 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ME2019★ 54 cited

Statistical inference of probabilistic origin-destination demand using day-to-day traffic data

Wei Ma, Zhen Qian

Recent transportation network studies on uncertainty and reliability call for modeling the probabilistic O-D demand and probabilistic network flow. Making the best use of day-to-da…

eess.SY2019★ 58 cited

Estimating multi-year 24/7 origin-destination demand using high-granular multi-source traffic data

Wei Ma, Zhen, Qian

Dynamic origin-destination (OD) demand is central to transportation system modeling and analysis. The dynamic OD demand estimation problem (DODE) has been studied for decades, most…

cs.CY2017★ 5 cited

Parking Sensing and Information System: Sensors, Deployment, and Evaluation

Xiao Chen, Zhen, Qian +5

This paper describes a smart parking sensing and information system that disseminates the parking availability information for public users in a cost-effective and efficient manner…

stat.AP2017★ 2 cited

User-centric interdependent urban systems: using time-of-day electricity usage data to predict morning roadway congestion

Pinchao Zhang, Zhen, Qian

Urban systems are interdependent as individuals' daily activities engage using those urban systems at certain time of day and locations. There may exist clear spatial and temporal…

eess.SY2016★ 16 cited

Freeway Lane Management Approach in Mixed Traffic Environment with Connected Autonomous Vehicles

Omar Hussain, Amir Ghiasi, Xiaopeng Li

Connected autonomous vehicles (CAV) technologies are about to be in the market in the near future. This requires transportation facilities ready to operate in a mixed traffic envir…