Title Statements
- Full title :Transportation Science
Edition Statements
- Publication Date:2018.
Publication Statements
- Publisher(s):Elsevier
- Place of Publication:San Diego
- Language:eng
- Publication Date:2018.
Notes
10.2 Data Source and Structure
The Physical Object
- Description:1 online resource (362 pages)
Edition Identifiers
- ISBN:9780128170274, 0128170271
- oclc:on1078555121
- Dewey Decimal:388.015118
Table of Contents
Intro; Title page; Table of Contents; Copyright; Contributors; List of Figures; List of Tables; Preface; Acronyms; Chapter 1: Overview of Data-Driven Solutions; Abstract; 1.1 General Background; 1.2 Data-Driven Innovation in Transportation Science; 1.3 Methodologies for Data-Driven Transportation Science; 1.4 Applications in Data-Driven Transportation Science; 1.5 Overview and Roadmap; Chapter 2: Data-Driven Energy Efficient Driving Control in Connected Vehicle Environment; Abstract; 2.1 Introduction; 2.2 Background and State of the Art; 2.3 Problem Formulation
2.4 Data-Driven Evolutionary Algorithm (EA) Based Self-Adaptive On-Line Optimization2.5 Data-Driven Reinforcement Learning-Based Real-Time EMS; 2.6 Conclusions; Chapter 3: Machine Learning and Computer Vision-Enabled Traffic Sensing Data Analysis and Quality Enhancement; Abstract; 3.1 Introduction; 3.2 State of the Art and Practice; 3.3 Methodology; 3.4 Experimental Tests and Discussions; 3.5 Conclusions; Chapter 4: Data-Driven Approaches for Estimating Travel Time Reliability; Abstract; 4.1 Introduction; 4.2 State of the Art and the Practice; 4.3 Estimating Freeway TTR and Its Accuracy
4.4 From Segment-Based TTR to OD-Ba…
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