Advances in Artificial Transportation Systems and Simulation
Rosaldo J F Rossetti, Ronghui Liu
Academic Press, Dec 15, 2014 - Technology & Engineering - 256 pages
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.
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Chapter 3 An Agent Methodology for Processes the Environment and Services
Chapter 4 A RoleBased Method for Analyzing Supply Chain Models
Chapter 5 Applying Delegate MAS Patterns in Designing Solutions for Dynamic Pickup and Delivery Problems
Chapter 6 Studying the Impact of the Organizational Structure on Airline Operations Control
Chapter 7 A MultiAgent System to Study the Internal Displacement of Passengers and Their Distribution on a LargeCapacity Bus
Chapter 8 Crowd Simulation Applied to Emergency and Evacuation Scenarios
Chapter 9 MultiAgent Active Collaboration Between Drivers and Assistance Systems
An Application of the ACP Approach
Chapter 11 Implementation of Transit Signal Priority and Predictive Priority Strategies in ASC3 SoftwareintheLoop Sim
RealTime Sensing of Traffic Information in Twitter Messages