TY - RPRT
T1 - Green Wave Traffic Optimization - A Survey
AU - Warberg, Andreas
AU - Larsen, Jesper
AU - Jørgensen, Rene Munk
PY - 2008
Y1 - 2008
N2 - The objective of this survey is to cover the research in the area of adaptive
traffic control with emphasis on the applied optimization methods.
The problem of optimizing traffic signals can be viewed in various ways, depending on political, economic and ecological goals. The survey highlights some
important conflicts, which support the notion that traffic signal optimization is
a multi-objective problem, and relates this to the most common measures of
effectiveness.
A distinction can be made between classical systems, which operate with
a common cycle time, and the more
flexible, phase-based, approach, which is
shown to be more suitable for adaptive traffic control. To support this claim three
adaptive systems, which use alternatives to the classical optimization procedures,
are described in detail.
AB - The objective of this survey is to cover the research in the area of adaptive
traffic control with emphasis on the applied optimization methods.
The problem of optimizing traffic signals can be viewed in various ways, depending on political, economic and ecological goals. The survey highlights some
important conflicts, which support the notion that traffic signal optimization is
a multi-objective problem, and relates this to the most common measures of
effectiveness.
A distinction can be made between classical systems, which operate with
a common cycle time, and the more
flexible, phase-based, approach, which is
shown to be more suitable for adaptive traffic control. To support this claim three
adaptive systems, which use alternatives to the classical optimization procedures,
are described in detail.
M3 - Report
T3 - D T U Compute. Technical Report
BT - Green Wave Traffic Optimization - A Survey
PB - Informatics and Mathematical Modelling
ER -