ITS Berkeley

This paper presents a framework and tools developed to study the sensitivity of traffic data quality to detectors location and spacing. Our ultimate objective is to formulate generalized detector deployment guidelines that are based on the functional needs of practitioners, and for which funding can be objectively justified. Our approach consists in using trajectory sets obtained from field experiments and traffic simulation models as ground truth, and to run a traffic detector model from which we extract information that would normally be available to practitioners. Ground truth...

We discuss the limitations of the current automotive Cyber Physical System (CPS). Its vehicle-centric view only provides partial information about the surrounding environment, it is not well suited to address the needs of embedded humans in the system, and it moves too slowly to keep pace with other technologies. In the larger context of human mobility, the automotive CPS must become more open and flexible, new human mobility models need to be developed, and the key issue of privacywill need to be addressed to protect increasingly important and prevalent location based data.

Hybrid systems combine discrete state dynamics which model mode switching, with continuous state dynamics which model physical processes. Hybrid systems can be controlled by affecting both their discrete mode logic and continuous dynamics: in many systems, such as commercial aircraft, these can be controlled both automatically and using manual control. A human interacting with a hybrid system is often presented, through information displays, with a simplified representation of the underlying system. This user interface should not overwhelm the human with unnecessary information, and thus...

This article proposes a new method combining convex optimization and viability theory for estimating traffic flow conditions on highway segments. Traffic flow is modeled by a Hamilton-Jacobi equation. Using a Lax-Hopf formula, we formulate the necessary and sufficient conditions for a mixed boundary and internal conditions problem to be well posed. The well-posedness conditions result in a system of linear inequalities, which enables us to compute upper and lower bounds on traffic flow parameters as the solution to a linear program. We illustrate the capabilities of the method with a data...