RETRACTED ARTICLE: Motorized Level of Service Classification for Urban Uncontrolled Intersections
Autor: | Sarvesh P.S. Rajput, Suprabeet Datta, Siddhartha Rokade |
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Rok vydání: | 2020 |
Předmět: |
Aerospace Engineering
010501 environmental sciences 01 natural sciences Silhouette Highway Capacity Manual 0502 economics and business Statistics Cluster analysis 0105 earth and related environmental sciences Mathematics 050210 logistics & transportation Level of service business.industry General Neuroscience Applied Mathematics 05 social sciences Computer Science Applications Hierarchical clustering Travel time Control and Systems Engineering Automotive Engineering Traffic conditions Global Positioning System business Software Information Systems |
Zdroj: | International Journal of Intelligent Transportation Systems Research. 19:199-213 |
ISSN: | 1868-8659 1348-8503 |
Popis: | Service and total delay are considered for classifying MLOS and intersections, respectively. GPS is used to collect travel time and speed data for turning movements that are transformed into average delay values. Thirteen junctions from eight different cities in India form the dataset. Divisive followed by agglomerative clustering (DAC-HAC) algorithm is applied as a two-step process for obtaining the service and total delay ranges. Validation of clusters is performed based on the Davies-Bouldin score, Calinski-Harabasz index, and Silhouette gaps. Based on DAC-HAC, uncontrolled intersections are classified into six categories (Cat-I, II, III, IV, V, and VI). Results indicate MLOS classes “D”, “E” and “F” have significantly higher service delay ranges as compared to Highway capacity manual “control” delay ranges indicating mixed traffic conditions. Most of the uncontrolled intersections under mixed traffic fall under Cat-IV, V, and VI, having higher total delay ranges (> 60 s/ vehicle/ approach). Finally, validation of the clustering results is done for geometric and roadside environmental features. |
Databáze: | OpenAIRE |
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