Transportation systems data come from a variety of sources such as arterial and freeway management systems, traffic management centers, transit operators, third party “big data” vendors collected from various devices such as roadway sensors, detectors, automated passenger counters (APC), transit automatic vehicle location (AVL), bluetooth, GPS, and so on. The types of data include traffic speed, volume, delays, vehicle occupancy, incidents, passenger boardings and alightings, and freight tonnages that describe the performance of all modes of transportation.
On the other hand, the US Census Bureau and various levels of government agencies collect large amounts of sociodemographic and travel behavior data that determines the travel demand for the transportation system. Examples include Decennial Census Data, American Community Survey (ACS) data, Longitudinal Employer-Household Dynamics (LEHD) data, and household travel survey data. Transportation planners also develop travel demand forecasting models and traffic simulation models that allow for scenario analysis to determine the best course of action to improve the transportation system. The ability to store and process the transportation systems data is vital to monitor the performance of the multimodal transportation system and develop investment strategies.
CTS Engineering, Inc. offers the full capability of cloud-based data storage, statistical analysis and modeling, and data visualization services that provide interactive tools for data exploration. We also develop internet-based, mobile device-compatible applications for data collection and analysis.