Abstract
Almost all researches about dynamic lane assignment were conducted to evaluate the effectiveness of applying this technique at signalized intersections. However, little attention was given to the method of identifying quickly the optimum lane group. This research suggests a quick method to find the optimum lane group for 3-lane and 4-lane approaches at junctions where each approach has green by itself in turn using the percentage of turning movements. MATLAB environment was used to build an optimization model to find the optimal lane groups at all intersection approaches for hypothetical massive traffic demand combinations using an objective function of minimizing intersection delay. This finding represents a plausible quick method to predict the optimum lane group in the field instantaneously using the percentage of turning movements at the approach without conducting massive calculations.
| Original language | English |
|---|---|
| Pages (from-to) | 1-7 |
| Number of pages | 7 |
| Journal | IATSS Research |
| Volume | 42 |
| Issue number | 1 |
| DOIs | |
| State | Published - Apr 2018 |
Bibliographical note
Publisher Copyright:© 2016 International Association of Traffic and Safety Sciences
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
Keywords
- Dynamic lane assignment
- Optimization model
- Optimum lane grouping
- Pre-timed signal
- Signalized intersection
ASJC Scopus subject areas
- Transportation
- Safety Research
- Urban Studies
- General Engineering
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