Advanced traffic analytics is a topic attracting increasingly more focus within the technology and transportation industry and in the IT world. Terms and concepts like Smart City, connected vehicles, and increasing demands for optimizing and informing on traffic situations calls for new tools and techniques to perform traffic-related analyses. Continuous proliferating quantities and varieties of data has become available over the past decade, introducing terms like Big Data and the Vs of Big Data. Today GPS data is available from a broad range of sources, e.g., transportation companies monitoring their vehicles, research projects analyzing on driving behavior, and even private drivers exchanging their second-to-second GPS data for traffic information. In Denmark more than 66 thousand drivers daily provides more than 100 million GPS records in exchange for traffic-related information.
This industrial-oriented thesis works with the concepts of integrating and modeling large sets of GPS and fuel/energy consumption data with a broad variety of secondary data sources enabling advanced traffic analytics with multiple contextual aspects. For many companies within the transport industry two typical main key performance indicators (KPIs) exist: 1) reducing overall costs and 2) improving punctuality to complete transportations at time. These KPIs also applies for the demand-responsive transport company FlexDanmark. Annually FlexDanmark manages passenger transportations for more than 1 billion DKK and savings of 1% yields large economic potentials. Being able to quantify the impact on travel times from, e.g., weather, accidents, or local factors enable much greater insight in focusing on which fields potentially could be optimized. Second, the large focus on environment, CO 2 emissions, fuel consumption, and electric vehicles requires companies to prepare for potential future steps into a transport industry independent on fossil fuels. Analyses on usage and driving behaviors of both conventional and electric vehicles enable, e.g., haulers, to be comfortable with the capabilities and limitations of electric vehicles.
All interested parties are welcome. After the defense the department will be hosting a small reception in cluster 3.