Search Results for author: Linchuan Yang

Found 4 papers, 1 papers with code

Dynamic Adjustment of Matching Radii under the Broadcasting Mode: A Novel Multitask Learning Strategy and Temporal Modeling Approach

no code implementations9 Dec 2023 Taijie Chen, Zijian Shen, Siyuan Feng, Linchuan Yang, Jintao Ke

To simultaneously maximize multiple system performance metrics for matching radius determination, we devise a novel multi-task learning algorithm that enhances convergence speed of each task (corresponding to the optimization of one metric) and delivers more accurate overall predictions.

Multi-Task Learning

Scaling Laws of Dynamic High-Capacity Ride-Sharing

1 code implementation12 May 2023 Wang Chen, Jintao Ke, Linchuan Yang

Dynamic ride-sharing services, including ride-pooling offered by ride-hailing platforms and demand-responsive buses, have become an essential part of urban mobility systems.

Vocal Bursts Intensity Prediction

The Short-term Impact of Congestion Taxes on Ridesourcing Demand and Traffic Congestion: Evidence from Chicago

no code implementations5 Jul 2022 Yuan Liang, Bingjie Yu, Xiaojian Zhang, Yi Lu, Linchuan Yang

To this end, this study applies difference-in-differences (i. e., a regression-based causal inference approach) to empirically evaluate the effects of the congestion tax policy on ridesourcing demand and traffic congestion in Chicago.

Causal Inference regression

Revealing the CO2 emission reduction of ridesplitting and its determinants based on real-world data

no code implementations2 Apr 2022 Wenxiang Li, Yuanyuan Li, Ziyuan Pu, Long Cheng, Lei Wang, Linchuan Yang

Integrating the trip data with the COPERT model, this study calculates the CO2 emissions of shared rides (ridesplitting) and their substituted single rides (regular ridesourcing) to estimate the CO2 emission reduction of each ridesplitting trip.

Interpretable Machine Learning

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