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A Dynamic Algorithm of Partitioning Urban Road Network into Traffic Control Subareas
Abstract:
The objective of this study is to develop a dynamic algorithm for traffic control subarea partition. Influencing factors are classified into static factors and dynamic factors. We mainly focus on the three dynamic factors which are cycle length, platoon length and traffic flow continuation. An integrated correlation model is established to quantify the correlation degree of adjacent intersections and then a dynamic partition algorithm is developed based on the model. Both this algorithm and Changs algorithm, which is a representative achievement in subarea partition cited by Traffic control systems Handbook, are applied to a network including 20 signalized intersections in VISSIM to compare their benefits. Statistical results show that: (a) adjacent intersections with high correlation degree can be partitioned into one subarea to execute signal coordination according to our algorithm; (b) implementing our algorithm can save average vehicle delay by 8.9% and average vehicle stops by 7.8% than implementing Changs algorithm.
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Pages:
1398-1402
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Online since:
September 2013
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