摘要: |
Significant freight traffic affects the performance of the whole transportation network in a more
sensitive and significant way compared to other traffic in the aspects of mobility, environment, and
safety. Trucks need extra distance and time for deceleration and acceleration, and their interactions
with other types of vehicles can cause more non-uniformity to the traffic due to their lengths and
speeds. Therefore, slowdown or bottleneck appear more easily at a segment where freight traffic is
significant. It has been shown in the research of FMRI first-year project that the coordination of
signals often fails when the demand is composed of a large portion of trucks. Strategies have been
developed in FMRI second-year project to formulate multiple trucks trajectories to pass consecutive
signals individually and cooperatively considering mixed traffic conditions. However, a curial
problem still remains: significant truck traffic presents the opportunities for truck platooning but
since trucks are controlled to formulate platoons to improve mobility, the stability problem exists in
the process of platoon evolving when a platoon is approaching a signalized intersection, or when the
platoon is merging or splitting. The safety should be ensured in these dynamic process and the ability
to resist disturbance or interruptions should be considered. Thus, a stability analysis is needed for
each platooning scenario and a robust control design is applied to ensure the applicability and safety
of all those control strategies. This is a necessary and crucial topic for traffic control and operation
under significant freight traffic.
In the first step of this proposed research, a stability analysis between dynamic trajectories of
different vehicles under different scenarios will be investigated. The stability in the process such as
truck platooning approaching a signalized intersection, merging and splitting will be analyzed. In the
next step, truck platoon evolving strategies over the signalized corridor will be designed with
robustness and optimality to ensure the stability of the platooning processes, with signal control for
better mobility as part of the consideration. The expected outputs will be suitable control parameters
for different platooning scenarios and an optimal and robust controller for the corridor considering
truck platooning and signal control. |