8,645 research outputs found
Towards Mobility Data Science (Vision Paper)
Mobility data captures the locations of moving objects such as humans,
animals, and cars. With the availability of GPS-equipped mobile devices and
other inexpensive location-tracking technologies, mobility data is collected
ubiquitously. In recent years, the use of mobility data has demonstrated
significant impact in various domains including traffic management, urban
planning, and health sciences. In this paper, we present the emerging domain of
mobility data science. Towards a unified approach to mobility data science, we
envision a pipeline having the following components: mobility data collection,
cleaning, analysis, management, and privacy. For each of these components, we
explain how mobility data science differs from general data science, we survey
the current state of the art and describe open challenges for the research
community in the coming years.Comment: Updated arXiv metadata to include two authors that were missing from
the metadata. PDF has not been change
Recommended from our members
Integrating Public and Private Data Sources for Freight Transportation Planning
The Moving Ahead for Progress in the 21st Century Act (MAP-21) stipulates that state transportation agencies
expand their interest in freight initiatives and modeling to support planning efforts, particularly the evaluation of
current and future freight transportation capacity necessary to ensure freight mobility. However, the
understanding of freight demand and the evaluation of current and future freight transportation capacity are not
only determined by robust models, but are critically contingent on the availability of accurate data. Effective
partnerships are clearly needed between the public and private sectors to ensure adequate freight planning and
funding of transportation infrastructure at the state and local levels. However, establishing partnerships with
firms who are both busy and suspicious of data-sharing, remains a challenge. This study was commissioned by
the Texas Department of Transportation (TxDOT) to explore the feasibility of TxDOT entering into a data-sharing partnership with representatives of the private sector to obtain sample data for use in formulating a
strategy for integrating public and private sector data sources. This report summarizes the findings, lessons
learned, and recommendations formed from the outreach effort, and provides a prototype freight data architecture
that will facilitate the storage, exchange, and integration of freight data through a data-sharing partnership.Texas Department of Transportation
Research and Technology Implementation Office
P.O. Box 5080
Austin, TX 78763-5080Civil, Architectural, and Environmental Engineerin
A concise guide to existing and emerging vehicle routing problem variants
Vehicle routing problems have been the focus of extensive research over the
past sixty years, driven by their economic importance and their theoretical
interest. The diversity of applications has motivated the study of a myriad of
problem variants with different attributes. In this article, we provide a
concise overview of existing and emerging problem variants. Models are
typically refined along three lines: considering more relevant objectives and
performance metrics, integrating vehicle routing evaluations with other
tactical decisions, and capturing fine-grained yet essential aspects of modern
supply chains. We organize the main problem attributes within this structured
framework. We discuss recent research directions and pinpoint current
shortcomings, recent successes, and emerging challenges
Advanced Location-Based Technologies and Services
Since the publication of the first edition in 2004, advances in mobile devices, positioning sensors, WiFi fingerprinting, and wireless communications, among others, have paved the way for developing new and advanced location-based services (LBSs). This second edition provides up-to-date information on LBSs, including WiFi fingerprinting, mobile computing, geospatial clouds, geospatial data mining, location privacy, and location-based social networking. It also includes new chapters on application areas such as LBSs for public health, indoor navigation, and advertising. In addition, the chapter on remote sensing has been revised to address advancements
- …