This study reports on a method to accomplish sensor validation and fusion in Intelligent Transportation Systems (ITS). The method is based on probabilistic and fuzzy techniques that express a confidence in the sensor data and take into account environmental factors and the state of the system....

Vehicles in an IVHS system rely heavily on information obtained from sensors. So far, most control systems make the implicit assumption that sensor information is always correct. However, in reality, sensor information is always corrupted to some degree by noise which varies with operating...

Advanced Vehicle Control Systems (AVCS) require large numbers of sensors for different levels within the control hierarchy. Whereas all sensors contain uncertainty to some degree, different sensors are particularly useful for specific environmental conditions. Therefore, sensor redundancy is...

This paper describes the co-design methodology created by the authors to partner with communities that have historical trauma associated with working with outsiders on projects that involved substantial use of engineering and science—renewable energy technologies, for example—that have not...

Traffic data is used to estimate current traffic conditions so that travelers and agencies can make better decisions about how to use and manage the transportation network. This research explores the fusion of probe data (vehicle speed and direction) with loop data (density, speed, and count) in...

According to the duality theory of traffic flow any well-posed kinematic wave (KW) and/or variational theory (VT) problem can be solved with the same methods either on the time-space plane or the time vs vehicle number plane. To achieve this symmetry, the model parameters and the boundary data...