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Full Description
The Intelligent Systems Series encompasses theoretical studies, design methods, and real-world implementations and applications. It publishes titles in three core sub-topic areas: Intelligent Automation, Intelligent Transportation Systems, and Intelligent Computing. Titles focus on professional and academic reference works and handbooks.
This volume, Advances in Artificial Transportation Systems and Simulation, covers hot topics including driver assistance systems; cooperative vehicle-highway systems; collision avoidance; pedestrian protection; image, radar and lidar signal processing; and V2V and V2I communications.
The readership for the series is broad, reflecting the wide range of intelligent systems interest and application, but focuses on engineering (in particular automation, control, mechatronics, robotics, transportation, automotive, aerospace), electronics and electronic design, and computer science.
Contents
The Role of Microscopic Simulation in ATS
Neural-Agent Driver Behavior Modeling Using Naturalistic Data
Multi-Agent Active Interaction with Driving Assistance Systems
Coordination in Hierarchical Pickup and Delivery Problems Using Delegate Multi-Agent Systems
Roles and Responsibilities in Supply Chains: an agent simulation modeling framework
A Multi-Agent Model of the Users Internal Displacement Dynamics and Their Distribution in a Large-Capacity Bus
A Pattern-based Framework for Building Self-Organizing Multi-Agent Systems
MAS-based Crowd Simulation Applied to Emergency and Evacuation Scenarios
TSUMO: an Agent-Based Simulator for ITS Applications
Impact of the Organizational Structure on Airline Operations
Information Systems for Public Transport Users
Density Variable Estimation from Microwave Sensor Data by Radial Basis Function Neural Network Method
Real-Time Sensing of Traffic Information
