Taxi travel time prediction based on fusion of traffic condition features

Author:

Sheng ZhaoyuORCID,Lv Zhiqiang,Li Jianbo,Xu Zhihao,Sun Haokai,Liu Xue,Ye Rongkun

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,General Computer Science,Control and Systems Engineering

Reference25 articles.

1. The impact of ride-hailing services on the use of traditional taxis: Evidence from Chinese urban panel data;Zhong;IET Intell Transp Syst,2022

2. A dynamic approach to predict travel time in real time using data driven techniques and comprehensive data sources;Taghipour;Transp Eng,2020

3. Deeptravel: A neural network based travel time estimation model with auxiliary supervision;Zhang,2018

4. Wang Z, Fu K, Ye J. Learning to estimate the travel time. In: Proceedings of the 24th ACM SIGKDD international conference on knowledge discovery & data mining. 2018, p. 858–66.

5. A novel approach for predicting water demand with complex patterns based on ensemble learning;Xu;Water Resour Manag,2022

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