activity
20192026
most citedA Transfer Learning Framework for Proactive Ramp Metering Performance Assessment

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

collaborators

5 papers

cs.ET2026

Safety, Mobility, and Environmental Impacts of Driver-Assistance-Enabled Electric Vehicles: An Empirical Study

Gabriel Geffen, Jun Zhao, Mingfeng Shang +2

The advancement of vehicle automation and the growing adoption of electric vehicles (EVs) are reshaping transportation systems. While fully automated vehicles are expected to impro…

stat.AP2023

A Causal Inference Approach to Eliminate the Impacts of Interfering Factors on Traffic Performance Evaluation

Xiaobo Ma, Abolfazl Karimpour, Yao-Jan Wu

Before and after study frameworks are widely adopted to evaluate the effectiveness of transportation policies and emerging technologies. However, many factors such as seasonal fact…

cs.LG2023★ 3 cited

A Transfer Learning Framework for Proactive Ramp Metering Performance Assessment

Xiaobo Ma, Adrian Cottam, Mohammad Razaur Rahman Shaon +1

Transportation agencies need to assess ramp metering performance when deploying or expanding a ramp metering system. The evaluation of a ramp metering strategy is primarily centere…

cs.LG2023

On-ramp and Off-ramp Traffic Flows Estimation Based on A Data-driven Transfer Learning Framework

Xiaobo Ma, Abolfazl Karimpour, Yao-Jan Wu

To develop the most appropriate control strategy and monitor, maintain, and evaluate the traffic performance of the freeway weaving areas, state and local Departments of Transporta…

eess.SP2019★ 2 cited

MmWave Radar Point Cloud Segmentation using GMM in Multimodal Traffic Monitoring

Feng Jin, Arindam Sengupta, Siyang Cao +1

In multimodal traffic monitoring, we gather traffic statistics for distinct transportation modes, such as pedestrians, cars and bicycles, in order to analyze and improve people's d…