摘要: |
Bus transit has been played an important role in the sustainable
communities, leading to an environmentally friendly and economical
mode of transportation. However, with uncomfortableness such as long
time travel and unpunctual schedules, the public prefer driving
themselves instead of taking buses. Schedule delay is of great importance
for buses. With punctual buses schedule, bus transit can be a reliable way
for people into consideration. The transit signal priority (TSP) can provide
the signal priority for buses to get through the signalized intersections
easily, reducing random delay. As for different buses within the same
intersection, the cobalt controller can adjust appropriate signal timing by
dividing them into different levels of priorities with effectiveness,
allocating the most delayed buses with the highest level of priority and so
on.
In this project, the research team implement TSP strategies into Simulation of Urban
Mobility (SUMO), building up an intersection or with different coming
buses, using (V2I) communication models with the signal controller in
complex scenarios to reduce delays for each bus with different priorities.
The most important part of this project is to adjust the cobalt controller
logic into VENTOS, a vehicular network open simulator to combine the
signal controls with TSP strategies. Once the research team implements the combined
two of them, the test could be conducted under one or multiple
intersections with buses. In the beginning, the team will conduct a simple test
with one bus in an intersection to demonstrate this project works well
and then take complex scenarios into considerations.The team divides this
project in following parts: (1) Construct a complex scenario of intersections in SUMO;
(2) Using hardware in the loop strategy to adjust the controller logic into
VENTOS; (3) Simulate the real-world transportation with delayed buses; (4) Conduct a test to demonstrate the effectiveness of the signal control
optimization. |