Advances in Artificial Transportation Systems and Simulation

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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.

  • 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
 

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Contents

An AgentBased Simulator for Intelligent Transportation Systems
1
Chapter 2 A PatternBased Framework for Building SelfOrganizing MultiAgent Systems
21
Chapter 3 An Agent Methodology for Processes the Environment and Services
37
Chapter 4 A RoleBased Method for Analyzing Supply Chain Models
55
Chapter 5 Applying Delegate MAS Patterns in Designing Solutions for Dynamic Pickup and Delivery Problems
79
Chapter 6 Studying the Impact of the Organizational Structure on Airline Operations Control
103
Chapter 7 A MultiAgent System to Study the Internal Displacement of Passengers and Their Distribution on a LargeCapacity Bus
125
Chapter 8 Crowd Simulation Applied to Emergency and Evacuation Scenarios
149
Chapter 9 MultiAgent Active Collaboration Between Drivers and Assistance Systems
163
An Application of the ACP Approach
181
Chapter 11 Implementation of Transit Signal Priority and Predictive Priority Strategies in ASC3 SoftwareintheLoop Sim
203
RealTime Sensing of Traffic Information in Twitter Messages
219
Index
235
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About the author (2014)

Assistant Professor, Department of Informatics Engineering of the University of Porto, Portugal

Senior Research Fellow, Institute of Transport Studies of the University of Leeds, UK

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