[ecoop-info] DSSTR 2014 : Call for Chapters: Data on Science and Simulation in Transportation Research

[Ansar YASAR]

Call for Chapters

www.igi-global.com/publish/call-for-papers/call-details/830

 

Proposals Submission Deadline: December 1, 2012

Full Chapters Due: March 1, 2013

 

Introduction

This book aims at providing an entirely new and highly detailed spatial-temporal microsimulation methodology for human mobility, grounded on massive amounts of big data of various types and from various sources (e.g. GPS, mobile phones, and social networking sites) and with the goal of forecasting the nation-wide consequences of a massive switch to electric vehicles, given the intertwined nature of mobility and power distribution networks. Many scientists have already pointed out that the goal of the social sciences is not simply to understand how people behave in large groups, but to understand what motivates individuals to behave the way they do. This fundamental insight, which can be gained from this project, is a step forward towards the solution of this important challenge; it can help us to better understand the dynamics of our society and, in the longer run, have an impact on overall societal well-being.

 

Objective of the Book

This book is planned to be published in relation with the European FP7 project called Data Science for Simulating the Era of Electric Vehicles (DATASIM) (www.datasim-fp7.eu). DATASIM consortium includes famous research groups and universities from all around the world. Many famous researchers are working on the problems defined above in the framework of this project. We, being the coordinators of the project, intend to gather all those novel ideas and publish them as an edited book with IGI. This book will help achieve some very novel objectives in the field of data-mining and transportation sciences. Some of these objectives include

 

1. Big data challenges

Big data coming from mobile call records, GPS trackers, and social networking sites e.g. Facebook, along with microscopic energy consumption, land-use, road network, and public transport level-of-service data, pose an enormous challenge in terms of data storage, integration, management, and privacy.

 

2. Big data joined with behavioral motivation leading to truly novel social science laws Big data need to be merged with behaviorally rich activity-travel diaries, generating a novel data-driven theory which enables us to analyze mobility demand from the individual point-of-view, not neglecting the behavioral and contextual situation of the individual.

 

3. The behavioral sensitivity of the individual as the core entity in the novel simulation standard Agent-based reality mining of big data is combined with behavioural sensitivity of the agent, accounting for changes in human behavior when circumstances change, either due to control, e.g. policy actions to prevent peak loads in the power network, or due to general trends, e.g. the use of electric vehicles.

 

4. A novel standard for evaluation and benchmarking The massive amounts of big data can be used to estimate origin-destination matrices, setting a novel, better, and more detailed standard for evaluating, validating, and benchmarking agent-based microsimulation models.

 

5. An issue of scalability

Computational power needs to be enhanced by orders of magnitude using state-of-the-art advances in high-performance fine-grain parallel computing systems, addressing scalability problems resulting from the behavioral theory extraction from big data and from the adoption of this theory in a nation-wide simulation environment of electrification of road transport.

 

Target Audience

The audience of this book will come from the domain of transportation research, data-mining, and related areas. Nevertheless, the most typical audience is from the European FP7 DATASIM project itself. In addition, the proposed book will serve as an aid to the prospective audience (e.g. university lecturers and professors, students, and researchers) and to governmental purposes, planning agencies, environmental management, standardization, harmonization purposes, etc.

 

Recommended topics include, but are not limited to the following:

* Information Extraction

* Data mining, learning, and adaptation

* Traces annotation

* Big data and semantics

* Map matching

* Modeling & Simulation

* Cooperative scheduling

* Model validation

* Model sensitivity

* Behavior modeling

* Behavior model extraction from big data

* Model calibration using big data sources

* Activity planning

* Schedule generation

* Scalability issues with country-wide models

* Collaboration, cooperation, competition, coalitions in traffic, and transportation models

* Applications based on big data and modeling techniques

* Smart Grid

* Electric mobility models

* Agent-based Mobility, Traffic, and Transportation Models, Methodologies, and Applications

* Agent-based techniques

* Agent-based modeling and simulation

* Agent-human interactions

* Agent-based negotiation of QoS and SLAs in traffic and transportation models

* Social and emergent behavior in MAS-T (multi-agent systems applied to traffic and transport)

* Large scale simulation of agent-based microscopic traffic models

* Calibration and validation of agent-based models for traffic and transportation

* Role of multi-agent methodologies for complex systems

* Agent-based freight transportation modeling

* Multi-modal routing of agents in a dynamic traffic environment

* Agent-based scheduling to establish synthetic agenda for day-to-day activities

 

Submission Procedure

Researchers and practitioners are invited to submit on or before November 1, 2012, a 2-3 page chapter proposal clearly explaining the mission and concerns of his or her proposed chapter. Authors of accepted proposals will be notified by December 1, 2012 about the status of their proposals and sent chapter guidelines. Full chapters are expected to be submitted by March 01, 2013. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project.

 

Publisher

This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), publisher of the "Information Science Reference" (formerly Idea Group Reference), "Medical Information Science Reference," "Business Science Reference," and "Engineering Science Reference" imprints. For additional information regarding the publisher, please visit www.igi-global.com. This book is anticipated to be released in early 2014.

 

Important Dates

November 1, 2012: Proposal Submission Deadline December 1, 2013: Notification of Acceptance March 01, 2013: Full Chapter Submission May 30, 2013: Review Results Returned July 30, 2013: Final Chapter Submission August 30, 2013: Final Deadline

 

Editors

 

Davy Janssens (Hasselt University, Belgium) Ansar-Ul-Haque Yasar (Hasselt University, Belgium) and Luk Knapen (Hasselt University, Belgium)

 

Inquiries and submissions can be forwarded electronically (Word document):

 

 

Inquiries and submissions can be forwarded electronically (Word document) or by mail to:

Dr. Davy Janssens, Dr. Ansar-ul-Haque Yasar, Mr. Luk Knapen Transportation Research Institute (IMOB), Hasselt University, Wetenschapspark 5 bus 6, B-3590 Diepenbeek, Belgium

Tel.: +32 11 26 91 11 * Fax: +32 11 26 91 99

E-mail: ansar.yasar at uhasselt.be

 

http://www.uhasselt.be/imob

http://www.datasim-fp7.eu

 

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