Download now Free registration required
Under the existing loosely-distributed sensoring environment with heterogeneous data sources, transportation planning and management agencies have found a critical need for efficiently storing, processing and extracting desirable corridor-level and network-level information through a systematic and seamless integration of data sources. Extracting travel time variability and trip reliability information from a large amount of spatially correlated data from a large-scale network with dramatic variations in travel demand and road capacity creates another demanding challenge to traffic engineers. The emerging practice of Cloud Computing provides a revolutionary solution platform to meet the above mentioned needs.
- Format: PDF
- Size: 735.2 KB