Buch, Englisch, 299 Seiten, Format (B × H): 162 mm x 227 mm, Gewicht: 484 g
Buch, Englisch, 299 Seiten, Format (B × H): 162 mm x 227 mm, Gewicht: 484 g
ISBN: 978-0-12-817026-7
Verlag: Elsevier Science & Technology
Zielgruppe
Transportation Systems researchers, graduate students, and practitioners
Autoren/Hrsg.
Weitere Infos & Material
1. Overview of Data-driven Transportation Science2. Data-driven Energy Efficient Driving Control in Connected Vehicle Environment3. Machine Learning and Computer Vision-Enabled Traffic Sensing Data Analysis and Quality Enhancement4. Data Driven Approaches for Estimating Travel Time Reliability5. Urban Travel Behavior Study Based on Data Fusion Model6. Urban Travel Mobility Exploring with Large-Scale Trajectory Data7. Public Transportation Big Data Mining and Analysis8. Data Driven Gating Control for Network Based on Macroscopic Fundamental Diagram9. Simulation-Based Optimization for Network Modeling with Heterogeneous Data10. Network Modeling and Resilience Analysis of Air Transportation: A Data-Driven, Open-Source Approach