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A Novel Approach to Achieve Near-optimal Traffic Distribution by Distributed Decision Making
Abstract
The
distribution of traffic in road network is called traffic assignment (TA).
Finding an optional distribution of traffic in the road network is called
traffic assignment problem (TAP). Advanced traveller information systems (ATIS)
are designed to provide real time information enabling drivers to choose
efficiently among routes and save travel time. If we provide travelers real
time information, we may need rerouting and there may be a problem such as
having congestion on the non-congested routes. Hence, by omitting the real time
information provision we propose a TA method which will be able to allocate
traffic based on the traveller’s own perception of the road network. Travelers
choose routes based on their own perception of road usages of the road network.
This ensures distributed decision making and thus the traffic distribution
becomes near optimal which enables travelers to reach their destinations within
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