Overview

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.

Full Product Details

Author:   Rosaldo J F Rossetti (Assistant Professor, Department of Informatics Engineering of the University of Porto, Portugal) ,  Ronghui Liu (Senior Research Fellow, Institute of Transport Studies of the University of Leeds, UK)
Publisher:   Elsevier Science Publishing Co Inc
Imprint:   Academic Press Inc
Dimensions:   Width: 19.10cm , Height: 1.80cm , Length: 23.50cm
Weight:   0.690kg
ISBN:  

9780123970411

ISBN 10:   0123970415
Pages:   256
Publication Date:   09 December 2014
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of 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

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Author Information

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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