Economical Optimization of Reversible Lane Systems - A study of modeling and optimizing the economic aspects of reversible lane systems in Gothenburg
Typ
Examensarbete för masterexamen
Program
Infrastructure and environmental engineering (MPIEE), MSc
Publicerad
2022
Författare
Sundeen, Johannes
Modellbyggare
Tidskriftstitel
ISSN
Volymtitel
Utgivare
Sammanfattning
Reversible lane systems are a strategy which aims to maximize the traffic flow by
switching the direction of one, or several, lanes at a road segment. While the implementation
of reversible lane systems has been studied in terms of optimizing the
total travel time in a traffic system, the economic impacts has historically often
been overlooked. In this report a mathematical model is developed that optimizes
the economic output of implementing reversible lane systems. The suggested model
is a bi-level optimization model. The upper level maximize the economic output
through altering the lane configuration and the lower level minimize the total system
travel time in accordance with the methodology for System Optimum. The
model is evaluated through applying it on central Gothenburg, Sweden. Here a Genetic
Algorithm, provided in MATLAB’s Global Optimization Toolbox, is used to
implement the model. Due to the restrictions imposed by this algorithm the bi-level
programming model is implemented as two separate optimization problems. The
two models are used iteratively where the output of the former is used as input in
the latter, and vice versa, until an optimized lane configuration is generated. In
the end it is concluded that it would not be profitable to implement reversible lane
systems in Gothenburg with the current traffic level. Moreover, it is concluded that
while the model can be used to generate an indication of the potential profitability
of reversible lane systems more developments are needed before basing large
infrastructural investments on results generated by this model.
Beskrivning
Ämne/nyckelord
reversible , optimization , lane , economical , system