Chapter: Urban Travel Behavior Study Based on Data Fusion Model

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Home > Data-Driven Solutions to Transportation Problems > Urban Travel Behavior Study Based on Data Fusion Model

Data-Driven Solutions to Transportation Problems |

Yinhai Wang andZiqiang Zeng

Elsevier

Data-Driven Solutions to Transportation Problems

Urban Travel Behavior Study Based on Data Fusion Model

Chapter Info

Authors

Meng Li; Mingqiao Zou; Huiping Li

ARI Id

1665435506541_16791792

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Not Available Free

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Chapters/Headings	Author(s)	Pages	Info
Overview of Data-Driven Solutions	Yinhai Wang; Ziqiang Zeng
Data-Driven Energy Efficient Driving Control in Connected Vehicle Environment	Xuewei Qi; Guoyuan Wu; Kanok Boriboonsomsin; Matthew J. Barth
Machine Learning and Computer Vision-Enabled Traffic Sensing Data Analysis and Quality Enhancement	Guohui Zhang; Yinhai Wang
Data-Driven Approaches for Estimating Travel Time Reliability	Shu Yang; Yao-Jan Wu
Urban Travel Behavior Study Based on Data Fusion Model	Meng Li; Mingqiao Zou; Huiping Li
Urban Travel Mobility Exploring With Large-Scale Trajectory Data	Jinjun Tang
Public Transportation Big Data Mining and Analysis	Xiaolei Ma; Xi Chen
Simulation-Based Optimization for Network Modeling With Heterogeneous Data	Xiqun (Michael) Chen
Network Modelling and Resilience Analysis of Air Transportation: A Data-Driven, Open-Source Approach	Xiaoqian Sun; Sebastian Wandelt
Health Assessment of Electric Multiple Units	Tianyun Shi; Haiyan Shen; Li Li; Peng Sun; Ge Guo
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