THESIS
2013
Abstract
This thesis proposes to investigate the evaluation and optimal design of speed limits for the
purpose of safety enhancement, energy saving and emission reduction on general networks. The
first chapter of the thesis discusses drivers’ compliance with speed limit. Then it focuses on
characterizing travelers’ non-obedient behaviors in speed selection and the subsequent user
equilibrium under a given link-specific speed limits, where the subjective travel time cost, the
perceived crash risk, and the perceived ticket risk of travelers are all taken into account as
determinant factors for their actual speed and route choices. An iterative diagonalization program
is proposed to solve heterogeneous user classes’ user equilibrium, and the integration with
NSGA-II is proposed in the third...[
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This thesis proposes to investigate the evaluation and optimal design of speed limits for the
purpose of safety enhancement, energy saving and emission reduction on general networks. The
first chapter of the thesis discusses drivers’ compliance with speed limit. Then it focuses on
characterizing travelers’ non-obedient behaviors in speed selection and the subsequent user
equilibrium under a given link-specific speed limits, where the subjective travel time cost, the
perceived crash risk, and the perceived ticket risk of travelers are all taken into account as
determinant factors for their actual speed and route choices. An iterative diagonalization program
is proposed to solve heterogeneous user classes’ user equilibrium, and the integration with
NSGA-II is proposed in the third part of the thesis to optimize link-based speed limits for the tri-objective
bi-level problem minimizing total travel time, system crash rate and total vehicular
emission at the same time. Both of the models are discussed with examples. This thesis provides
a new angle to look at the impacts of speed limits on traffic equilibrium and system performance in general networks, and helps the system planner to design the link specific speed limits for
multi-objective system optimization.
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