DSSTR 2014 : Call for Chapters: Data on Science and Simulation in Transportation Research
Call For Papers
Davy Janssens (Hasselt University, Belgium)
Ansar-Ul-Haque Yasar (Hasselt University, Belgium)
and Luk Knapen (Hasselt University, Belgium)
Call for Chapters
Proposals Submission Deadline: 31 Jan 2013 (final extension)
Full Chapters Due: March 15, 2013
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.
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
Researchers and practitioners are invited to submit on or before December 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 January 2, 2012 about the status of their proposals and sent chapter guidelines. Full chapters are expected to be submitted by March 1, 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.
Authors are advised to send their abstracts/full chapters in single column word format. Please clearly mention the title of your chapter and author details (names, affiliations, and emails). Please contact the editors of the book for more information. Proposals should be submitted at https://www.easychair.org/conferences/?conf=dsstr2014.
Editorial Advisory Board Members
Ram M. Pendyala (Arizona State University, USA)
Sean T. Doherty (Wilfrid Laurier University, Canada)
Tomás Ruiz (Universidad Politécnica de Valencia, Spain)
Adel W. Sadek (The State University of New York, USA)
Harry Timmermans (Eindhoven University of Technology, The Netherlands)
Rashid A. Waraich (Institute for Transport Planning and Systems, Switzerland)
T.A. Arentze (Technische Universiteit Eindhoven, The Netherlands)
Stéphane Galland (Université de Technologie de Belfort-Montbéliard, France)
Nicolas Gaud (Université de Technologie de Belfort-Montbéliard, France)
Geert Wets (Hasselt University, Belgium)
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.
Jan 2, 2013: Proposal Submission Deadline
Feb 1, 2013: Notification of Acceptance
March 15, 2013: Full Chapter Submission
May 30, 2013: Review Results Returned
July 30, 2013: Final Chapter Submission
August 30, 2013: Final Deadline
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