Fairness-enhancing deep learning for ride-hailing demand prediction

Fairness-enhancing deep learning for ride-hailing demand prediction

10 March 2023

Shenhao Wang

Papers citing "Fairness-enhancing deep learning for ride-hailing demand prediction"

10 / 10 papers shown

Title
FairTP: A Prolonged Fairness Framework for Traffic Prediction Jiangnan Xia Yu Yang Jiaxing Shen Senzhang Wang Jiannong Cao AI4TS 80 0 0 18 Dec 2024
Deep Activity Model: A Generative Approach for Human Mobility Pattern Synthesis Xishun Liao Brian Yueshuai He Qinhua Jiang Chenchen Kuai Jiaqi Ma HAI AI4CE 15 7 0 24 May 2024
Advancing Transportation Mode Share Analysis with Built Environment: Deep Hybrid Models with Urban Road Network Dingyi Zhuang Qingyi Wang Yunhan Zheng Xiaotong Guo Shenhao Wang Haris N. Koutsopoulos Jinhua Zhao 19 0 0 23 May 2024
Fairness-Enhancing Vehicle Rebalancing in the Ride-hailing System Xiaotong Guo Hanyong Xu Dingyi Zhuang Yunhan Zheng Jinhua Zhao 19 5 0 29 Dec 2023
A Bayesian Optimization approach for calibrating large-scale activity-based transport models S. Agriesti Vladimir Kuzmanovski Jaakko Hollmén C. Roncoli Bat-hen Nahmias-Biran 15 5 0 07 Feb 2023
Multi-intersection Traffic Optimisation: A Benchmark Dataset and a Strong Baseline Hu Wang Hao Chen Qi Wu Congbo Ma Yidong Li Chunhua Shen 18 11 0 24 Jan 2021
Using Spatio-temporal Deep Learning for Forecasting Demand and Supply-demand Gap in Ride-hailing System with Anonymised Spatial Adjacency Information Md. Hishamur Rahman S. Rifaat 25 10 0 16 Dec 2020
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 294 4,187 0 23 Aug 2019
Improving fairness in machine learning systems: What do industry practitioners need? Kenneth Holstein Jennifer Wortman Vaughan Hal Daumé Miroslav Dudík Hanna M. Wallach FaML HAI 192 739 0 13 Dec 2018
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 185 2,082 0 24 Oct 2016