5 papers
Incentive-based Decentralized Routing for Connected and Autonomous Vehicles using Information Propagation
Chaojie Wang, Srinivas Peeta, Jian Wang
Routing strategies under the aegis of dynamic traffic assignment have been proposed in the literature to optimize system performance. However, challenges have persisted in their de…
Predicting Station-Level Bike-Sharing Demands Using Graph Convolutional Neural Network
Lei Lin, Weizi Li, Srinivas Peeta
This study proposes a novel Graph Convolutional Neural Network with Data-driven Graph Filter (GCNN-DDGF) model that can learn hidden heterogeneous pairwise correlations among stati…
Capture and Recovery of Connected Vehicle Data: A Compressive Sensing Approach
Lei Lin, Weizi Li, Srinivas Peeta
Connected vehicles (CVs) can capture and transmit detailed data through vehicle-to-vehicle and vehicle-to-infrastructure communications, which bring new opportunities to improve th…
Efficient Collection of Connected Vehicle Data based on Compressive Sensing
Lei Lin
Connected vehicles (CVs) can capture and transmit detailed data like vehicle position, speed and so on through vehicle-to-vehicle and vehicle-to-infrastructure communications. The…
A Compressive Sensing Approach for Connected Vehicle Data Capture and Recovery and its Impact on Travel Time Estimation
Lei Lin, Weizi Li, Srinivas Peeta
Connected vehicles (CVs) can capture and transmit detailed data such as vehicle position and speed through vehicle-to-vehicle and vehicle-to-infrastructure communications. The weal…