Multimodal transport network customers need to be directed during their travels. A travel support tool can be offered by a Multimodal Information System (MIS), which allows them to input their needs and provides them with the appropriate responses to improve their travel conditions. The goal of this book is to design and develop methodologies in order to realize a MIS tool which can ensure permanent multimodal information availability before and during travel, considering passengers' mobility. The authors propose methods and tools that help transport network customers to formulate their requests when they connect to their favorite information systems through PC, laptop, cell phone, Portable Digital Assistant (PDA), etc. The MIS must automatically identify the websites concerning the customer's services. These sites can, in fact, represent transport services, cultural services, tourist services, etc. The system should then be able to collect the necessary travel information from these sites in order to construct and propose the most convenient information according to the user's requests. Contents 1. Agent-oriented Road Traffic Simulation, René Mandiau, Sylvain Piechowiak, Arnaud Doniec and Stéphane Espié. 2. An Agent-based Information System for Searching and Creating Mobility-aiding Services, Slim Hammadi and Hayfa Zgaya. 3. Inter-vehicle Services and Communication, Sylvain Lecomte, Thierry Delot and Mikael Desertot. 4. Modeling and Control of Traffic Flow, Daniel Jolly, Boumediene Kamel and Amar Benasser. 5. Criteria and Methods for Interactive System Evaluation: Application to a Regulation Post in the Transport Domain, Houcine Ezzedine, Abdelwaheb Trabelsi, Chi Dung Tran and Christophe Kolski.
Cover Advanced Mobility and Transport Engineering Title Page Copyright Page Table of Contents Preface Introduction Chapter 1. Agent-oriented Road Traffic Simulation 1.1. Introduction 1.2. The principle of multi-agent systems 1.2.1. Motivations 1.2.2. Agents versus multi-agent systems 1.3. General remarks on traffic simulation devices 1.3.1. Granularity level 1.3.2. A centralized approach for traffic simulation 1.3.3. Behavioral approaches 1.4. ArchiSim simulator 1.4.1. A distributed architecture 1.4.2. A behavioral model of agents 1.5. The issue of traffic simulation in intersections 1.5.1. Behavioral model of agents 1.5.2. Illustrative example of the proposed model 1.6. Assessment of different scenarios 1.6.1. Assessing the execution time of agents 1.6.2. Reducing the number of deadlock situations 1.6.3. Real situations 1.7. Conclusion 1.8. Bibliography Chapter 2. An Agent-based Information System for Searching and Creating Mobility-aiding Services 2.1. Introduction 2.2. Formulating the problem 2.3. The global architecture of the system 2.3.1. Modeling based on communicating agents 2.3.2. Local databases within the ISAM 2.3.3. Dynamic data archiving model 2.4. Proposal of a resolution system with several interactive entities: a dynamic multi-agent system 2.5. The behavior of a scheduling agent 2.5.1. First level of optimization: building initial route plans for mobile agents 2.5.2. Second level of optimization: creating services using an evolutionary framework 2.6. Managing system robustness when dealing with disruptions: advancing a negotiation process between stationary and mobile entities 2.6.1. Initiators and participants 2.6.2. The proposed protocol 2.7. The usefulness of a dedicated dynamic ontology 2.7.1. Terms. 2.7.2. Predicates 2.8. Simulations and results 2.8.1. Intra-system communication 2.8.2. The validity and assessment of the mobile agent paradigm 2.8.3. Example of a mobility-aiding services demand scenario 2.8.4. Case study of an itinerary service 2.9. Conclusion and perspectives 2.10. List of abbreviations 2.11. Bibliography Chapter 3. Inter-vehicle Services and Communication 3.1. Introduction 3.2. The specificity of inter-vehicle communication 3.2.1. What is an inter-vehicle service? 3.2.2. Inter-vehicle services versus ambient computing 3.2.3. What type of stakeholders are involved? 3.3. Inter-vehicle communication 3.3.1. What constraints? 3.3.2. Can we do without communication architecture? 3.3.3. Data exchange or service invocation? 3.4. Deployment and maintenance 3.4.1. What are the deployment needs? 3.4.2. Available deployment mechanisms 3.4.3. Application of the VESPA example 3.5. What kind of future can we envisage for inter-vehicle services and communication technologies? 3.6. Bibliography Chapter 4. Modeling and Control of Traffic Flow 4.1. General introduction 4.1.1. Different models of road traffic flow 4.1.2. Classification criteria for road traffic flow system models 4.2. Microscopic models 4.2.1. Car-following models 4.2.2. The cellular automata model 4.3. Macroscopic models 4.3.1. LWR-type first-order models 4.3.2. Superior-order or second-order models 4.4. General remarks concerning macroscopic and microscopic models 4.4.1. Links between models 4.4.2. Domains of application of macroscopic and microscopic models 4.4.3. Movement toward hybrid models 4.5. Hybrid models 4.5.1. The Magne model (MicMac) 4.5.2. The Poschinger model 4.5.3. The Bourrel model (HYSTRA) 4.5.4. The Mammar model. 4.5.5. The Espié model 4.5.6. The El Hmam hybrid model 4.5.7. Comparison of the hybrid models presented and general remarks 4.6. Different strategies for controlling road traffic flow systems 4.6.1. Regulation of access: definition and history 4.6.2. Access regulation methods (metering systems) 4.6.3. Adaptive local access regulation strategies (responsive ramp metering control strategy) 4.6.4. Adaptive strategies for coordinated access regulation (multivariable regulator strategies) 4.6.5. Implementation of regulation via traffic lights 4.6.6. Evaluation of access control (effects of access regulation) 4.7. Conclusion 4.8. Bibliography Chapter 5. Criteria and Methods for Interactive System Evaluation: Application to a Regulation Post in the Transport Domain 5.1. Introduction 5.2. Principles and criteria of evaluation 5.2.1. Principle of evaluation 5.2.2. Classifications of evaluation methods 5.3. Methods, techniques and tools for the evaluation of interactive systems 5.3.1. User-centered approaches 5.3.2. Expert-based approaches 5.3.3. Analytical approaches 5.3.4. Synthesis of evaluation methods, techniques and tools 5.4. Toward automated or semi-automated evaluation assistance tools 5.4.1. Tools utilizing ergonomic guidelines 5.4.2. Tools for the collection of interaction data to support the evaluation 5.5. Proposal of a generic and configurable environment to aid in the evaluation of agent-based interactive systems: EISEval 5.5.1. Motivation 5.5.2. Principles of the proposed EISEval evaluation environment 5.5.3. Structure of the environment proposed 5.6. Context of operation of the proposed evaluation environment 5.6.1. SART project 5.6.2. The IAS agent-based interactive system 5.6.3. Application of the proposed EISEval environment to evaluate IAS. 5.7. Conclusion 5.8. Bibliography List of Authors Index.
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