摘要: |
In real traffic network, travelers� behaviors are affected by traffic control
strategies. To coordinate traffic, traffic control authorities need to take
travelers� route choices into consideration. In this research, the research team
simultaneously captures the travelers� route choice behavior and the
traffic signal control in a coherent framework. For travelers� route choice,
a VANET (vehicular ad hoc network) is considered, where travelers can
have access to the real-time traffic information and make decisions at
each intersection using hyper-path trees. For traffic signal control, an
adaptive control scheme is adopted for different demand scenarios. For
higher demand, traffic signals are set according to the upstream flows,
while for lower demand, actuated traffic signals are used. The team tests their
algorithm and control strategy by simulation in OmNet++ and SUMO
(Simulation of Urban MObility) under several scenarios. The simulation
results show that with the proposed dynamic routing, the overall travel
cost significantly decreases. It is also shown that the proposed adaptive
signal control reduces the average delay effectively, as well as reduces
the fluctuation of the average speed within the whole network which can
reduce the fuel consumption eventually. |