Advances in Artificial Transportation Systems and Simulation
The Intelligent Systems Series publishes titles that cover state of the art knowledge and the latest advances in research and development in intelligent systems
Rosaldo J F Rossetti (Edited by), Ronghui Liu (Edited by)
9780123970411
Hardback, published 9 December 2014
256 pages 23.4 x 19 x 2.1 cm, 0.69 kg
Approx.250 pages
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
Subject Areas: Robotics [TJFM1], Engineering: general [TBC]
