<span>Urban mobility is not only one of the pillars of modern economic systems, but also a key issue in the quest for equality of opportunity, once it can improve access to other services. Currently, however, there are a number of negative issues related to traffic, especially in mega-cities, such a
Introduction to Intelligent Systems in Traffic and Transportation
β Scribed by Ana L.C. Bazzan, Franziska KlΓΌgl
- Publisher
- Morgan & Claypool
- Year
- 2014
- Tongue
- English
- Leaves
- 139
- Series
- Synthesis Lectures on Artificial Intelligence and Machine Learning; 25
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Table of Contents
Preface
Acknowledgments
List of Symbols
Introduction
The Importance of Transportation
Transportation Systems
Intelligent Transportation Systems
Elements of Supply
Traffic Network Structure
Traffic Streams: Macroscopic and Microscopic Parameters
Traffic Flow Theory
Traffic Control Measures
Signal Timing and Design
Progressive Systems
To Know More
Elements of Demand
Demand Modeling
Representation of Demand
Trip-based Demand Modeling
Activity-Based Demand Modeling
Discrete Choice Modeling for Travel Demand
Travel Demand Management
To Know More
Traffic Assignment: Connecting Supply and Demand
Route Computation
Basic Trip Assignment
Assignment on Un-congested Networks
Assignment under Congestion and Equilibrium
Dynamic Traffic Assignment
From User to System Optimum
Changing the Perspective: From Trips to Drivers
Evaluation of Route Assignment
To Know More
Getting Data for Demand Estimation and Traffic Flow Modeling
Data Collection for Estimation of Demand and Volume
Deriving Parameters from Data
Sources of Public Data about Network Topology and Demand
OpenStreetMap
Transportation Network Test Problems
To Know More
Modeling and Simulation of Advanced Decision Making
Systematics of Traditional Approaches
Sub-Microscopic Models
Microscopic Traffic Flow Models
Macroscopic Traffic Flow Simulation Models
Mesoscopic Traffic Flow Simulation
Human-like Driving with Advanced Driver Models
Anticipation
Behavior at Crossings
Emotion and Aggressiveness
Routing, Planning and Beyond
To Know More
Intelligent Measures in Control and Management
Strategies for Intelligent Traffic Signal Control
From Isolated to Coordinated Intersections
Approaches Based on Reinforcement Learning
Beyond Pure Traffic Signal Control
Approaches Explicitly Addressing Demand
Coordination of Drivers' Choices
Lightless and Market-based Approaches
System-Level Management
To Know More
Driver Support and Guidance
(Advanced) Driver Assistance Systems
Elements of a driver assistance system
New Technology for Cooperative Assistance Systems
In-Vehicle Route Guidance
Basic Localization
Map-Matching
Shortest Path Algorithms
Using Route Guidance
Cooperative Route Guidance
From Route Guidance to Travel Recommender Systems
Extended Routing
Mobile Recommender Systems
To Know More
Trends and New Technologies
Interconnected Automobiles
Some Projects Around Autonomous Vehicles and Personal Transit
Future of Traffic Management
Participatory Traffic Management
Autonomic Traffic Management
Crowd Sensing
To Know More
Bibliography
Authors' Biographies
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