Abstract
This paper formulates an integrated mixed-integer nonlinear programming model for coordinating semi-actuated signals on arterials, with the vehicle actuation logic explicitly modeled and embedded. The decision variables are the common cycle length; offset points; phase sequences; green splits of the major phases; minimum green, unit green extension and maximum green of the minor phases which are optimized simultaneously. Two algorithms are employed to search for the optimal signal plans: one is the traditional genetic algorithm (GA), and the other is a GA-based heuristic to save computation effort in earlier search stages. Numerical example is carried out to demonstrate the proposed model and algorithms.
Original language | English (US) |
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Pages (from-to) | 228-246 |
Number of pages | 19 |
Journal | Journal of Advanced Transportation |
Volume | 49 |
Issue number | 2 |
DOIs | |
State | Published - Mar 1 2015 |
Keywords
- coordination
- genetic algorithm
- mixed-integer nonlinear problem
- semi-actuated signals
ASJC Scopus subject areas
- Automotive Engineering
- Economics and Econometrics
- Mechanical Engineering
- Computer Science Applications
- Strategy and Management