Advances in Artificial Transportation Systems and Simulation

ISBN-13: 9780123970411 / Angielski / Twarda / 2014 / 256 str.

Rosaldo J. F. Rosetti; Ronghui Liu

Opis

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.

• Provides researchers and engineers with up to date research results and state-of-the art technologies in the area of intelligent vehicles and transportation systems
• Includes case studies plus surveys of the latest research
• Covers hot topics including driver assistance systems; cooperative vehicle-highway systems; collision avoidance; pedestrian protection; image, radar and lidar signal processing; V2V and V2I communications

Spis treści

1. The Role of Microscopic Simulation in ATS
2. Neural-Agent Driver Behavior Modeling Using Naturalistic Data
3. Multi-Agent Active Interaction with Driving Assistance Systems
4. Coordination in Hierarchical Pickup and Delivery Problems Using Delegate Multi-Agent Systems
5. Roles and Responsibilities in Supply Chains: an agent simulation modeling framework
6. A Multi-Agent Model of the Users Internal Displacement Dynamics and Their Distribution in a Large-Capacity Bus
7. A Pattern-based Framework for Building Self-Organizing Multi-Agent Systems
8. MAS-based Crowd Simulation Applied to Emergency and Evacuation Scenarios
9. TSUMO: an Agent-Based Simulator for ITS Applications
10. Impact of the Organizational Structure on Airline Operations
11. Information Systems for Public Transport Users
12. Density Variable Estimation from Microwave Sensor Data by Radial Basis Function Neural Network Method
13. Real-Time Sensing of Traffic Information