NDLI: Proceedings of the 7th ACM SIGSPATIAL International Workshop on Computational Transportation Science (IWCTS '14)

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NormSTAD flight analysis: visualizing air traffic patterns over the United States

Sensor-based trip-separation method based on ergodic HMM

Euler histogram tree: a spatial data structure for aggregate range queries on vehicle trajectories

Deriving driver-centric travel information by mining delay patterns from single GPS trajectories

Better transit routing by exploiting vehicle GPS data

Realtime response of shortest path computation

TeleAgro+: analysis framework for agricultural telematics data

A before and after study for travel time of unconventional intersections using probe data

Toward dynamic path recommender system based on social network data

A marketplace for spatio-temporal resources and truthfulness of its users

UPDetector: sensing parking/unparking activities using smartphones

Proceedings of the 7th ACM SIGSPATIAL International Workshop on Computational Transportation Science (IWCTS '14)

Content Provider	ACM Digital Library
Editor	Chen, Xin
Copyright Year	2014
Abstract	In the near future, vehicles, travelers, and the infrastructure will collectively have billions of sensors that can communicate with each other. Transportation systems, due to their distributed/mobile nature, can become the ultimate test-bed for a ubiquitous (i.e., embedded, highly-distributed, and sensor-laden) computing environment of unprecedented scale. This environment will enable numerous novel applications and order of magnitude improvement of the performance of existing applications. Information technology is the foundation for implementing new strategies, particularly if they are to be made available in real-time to wireless devices in vehicles or in the hands of people. Contributing are increasingly more sophisticated geospatial and spatio-temporal information management capabilities. Human factors, technology adoption and use, user feedback and incentives for collaborative behavior are areas of technology policy central to the success of this ubiquitous computing environment. The emerging discipline of Computational Transportation Science (the science behind Intelligent Transportation Systems) combines computer science and engineering with the modelling, planning, and economic aspects of transportation planning and engineering to leverage developments in the above domains. By taking advantage of ubiquitous computing, Computational Transportation Science applications can help create more efficient, equitable, livable and sustainable transportation systems and communities. The seventh International Workshop on Computational Transportation Science (IWCTS) is particularly timely given the prominence of self-driving and connected vehicle technologies in the global auto industry's near-term growth strategies. We build upon the success of previous workshops to continue to focus on computation, knowledge discovery, and technology aspects of transportation systems while welcoming research papers in computer science, transportation science, urban and regional planning, the automotive arena, civil engineering, robotics, geography, geoinformatics, and other related disciplines.
ISBN	9781450331388
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2014-11-04
Access Restriction	Subscribed
Content Type	Text
Resource Type	Conference Proceedings

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