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Proceedings of the 4th ACM SIGSPATIAL International Workshop on Computational Transportation Science (CTS '11)
| Content Provider | ACM Digital Library |
|---|---|
| Editor | Vonu, Piyushimita Thakuriah |
| Copyright Year | 2011 |
| Abstract | Transportation is a vast sector, involving vehicles, infrastructure and travelers within a complex and dynamic environment. The proliferation of sensors and wireless communication amongst these entities provides opportunities for transportation services that address changing mobility needs in efficient and equitable ways. For instance, the automobile has evolved from being a basic transportation device into an advanced system with myriad on-board computational technologies that address needs ranging from automated crash avoidance to general driver wellbeing. Traveler information concepts have evolved from messages relayed from roadside message signs and factory-installed in-vehicle navigation devices to navigation and way-finding via hand-held devices connecting travel activity patterns, social networks and multiple modes of transportation. Transportation infrastructure itself has evolved from concrete and asphalt and isolated traffic control to complex sensor systems that are able to detect and generate massive amounts of data in real-time. These trends rest on top of rapid urbanization and formation of mega metro regions, changing demographics and rapidly aging societies, globalization of trade and generation of complex freight transportation and supply chains, and significant changes anticipated in the domains of energy and climate change. These broader trends have profound implications for transportation systems of the future and have already led to the instrumentation and interconnectedness of many complex systems within their own domains. Transportation systems should be able to address these changes and respond in efficient and cost-effective manner. These trends generate significant research questions relating to computation, knowledge discovery and technology policy. 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. Information technology is the foundation for implementing new strategies, particularly if they are to be made available in real-time to wireless devices such as cell phones and PDAs. A related development is the emergence of increasingly more sophisticated geospatial and spatio-temporal information management capabilities. Human factors, technology adoption and use, and user feedback and user-centered design are areas of technology policy central to the success of this ubiquitous computing environment. The emerging discipline of Computational Transportation Science (CTS) combines computer science and engineering with the modeling, planning, and economic aspects of transportation planning and engineering to leverage developments in the above domains. The discipline goes beyond vehicular technology, and addresses pedestrian or bicycle systems on hand-held devices, non-real-time issues such as data mining, as well as data management issues above the networking layer. By taking advantage of ubiquitous computing, CTS applications can help create more efficient, equitable, livable and sustainable transportation systems and communities. In this year's Workshop the papers presented cover a range of interesting topics from the practical aspects of public transportation through to the theoretical aspects of traffic signal control. We commend them to you. |
| ISBN | 9781450310345 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2011-11-01 |
| Access Restriction | Subscribed |
| Content Type | Text |
| Resource Type | Conference Proceedings |
