United States Department of Transportation
i
Real-time optimization of passenger collection for commuter rail systems.
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2014-09-01
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[PDF-899.52 KB]
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Abstract:Commuter rail systems are being introduced into many urban areas as an alternative mode to automobiles
for commuting trips. The shift from the auto mode to rail mode is anticipated to greatly help alleviate
traffic congestion in urban road networks. However, the right-of-way of many existing commuter rail
systems is usually not ideally located. Since the locations of rail systems were typically chosen long ago
to serve the needs of freight customers, the majority of current commuter rail passengers have to take a
non-walkable connecting trip to reach their final destinations after departing even the most conveniently
located rail stations. To make rail a more viable, competitive commuting option, a bus feeder or circulator
system is proposed for seamlessly transporting passengers from their departing rail stations to final work
destinations. The primary research challenge in modeling such a bus circulator system is to optimally
determine a bus route and stop sequence for each circulating tour using the real-time demand information.
In this paper, we termed this joint routing and stop optimization problem the circulator service network
design problem, the objective of which is to minimize the total tour cost incurred by bus passengers and
operators while minimizing the walk time of each individual bus passenger. A bi-level nonlinear mixed
integer programming model was constructed and a tabu search method with different local search
strategies and neighborhood evaluation methods was then developed to tackle the circulator service
network design problem.
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