Gray Areas in Isolated Intersection Control-Type Selection: Complementary Decision-Support ToolSource: Journal of Transportation Engineering, Part A: Systems:;2017:;Volume ( 143 ):;issue: 011DOI: 10.1061/JTEPBS.0000085Publisher: American Society of Civil Engineers
Abstract: The intersection control-type selections for future facilities can be determined by comparison of a common measure of effectiveness that is average control delay. However, rigid comparisons of such measures tend to mislead the decision-making process in practice, since there must be latent factors in quantification. To this end, this paper proposes the performance comparison framework of different transportation facility alternatives using a common quantitative measure. By considering the uncertainties in a quantification process, the proposed framework provides gray areas (i.e., intuitively visualized information, which decision-makers can use to assist in their engineering decisions). The average control delay of two-way stop control, all-way stop control, signal control types, and roundabouts were compared with contour lines of delay differences. It is found that the delay of a roundabout increases rapidly as the traffic demand increases. Hence, a signal control type has the minimum delay level in that case, despite the fact that the roundabout outperforms for most of the low-demand conditions. When the signal timing plan is optimized, this feature becomes evident. With consideration of the margin of error in the delay, a gray area on the minimum delay surface between the signal control and roundabout types enlarges in the low-demand area. The gray areas can be utilized by practitioners to decide the best intersection control type with consideration of construction and maintenance costs over delay reduction benefit.
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| contributor author | Bumjoon Bae | |
| contributor author | Brandon C. Whetsel | |
| contributor author | Lee D. Han | |
| date accessioned | 2017-12-16T09:19:33Z | |
| date available | 2017-12-16T09:19:33Z | |
| date issued | 2017 | |
| identifier other | JTEPBS.0000085.pdf | |
| identifier uri | http://138.201.223.254:8080/yetl1/handle/yetl/4241484 | |
| description abstract | The intersection control-type selections for future facilities can be determined by comparison of a common measure of effectiveness that is average control delay. However, rigid comparisons of such measures tend to mislead the decision-making process in practice, since there must be latent factors in quantification. To this end, this paper proposes the performance comparison framework of different transportation facility alternatives using a common quantitative measure. By considering the uncertainties in a quantification process, the proposed framework provides gray areas (i.e., intuitively visualized information, which decision-makers can use to assist in their engineering decisions). The average control delay of two-way stop control, all-way stop control, signal control types, and roundabouts were compared with contour lines of delay differences. It is found that the delay of a roundabout increases rapidly as the traffic demand increases. Hence, a signal control type has the minimum delay level in that case, despite the fact that the roundabout outperforms for most of the low-demand conditions. When the signal timing plan is optimized, this feature becomes evident. With consideration of the margin of error in the delay, a gray area on the minimum delay surface between the signal control and roundabout types enlarges in the low-demand area. The gray areas can be utilized by practitioners to decide the best intersection control type with consideration of construction and maintenance costs over delay reduction benefit. | |
| publisher | American Society of Civil Engineers | |
| title | Gray Areas in Isolated Intersection Control-Type Selection: Complementary Decision-Support Tool | |
| type | Journal Paper | |
| journal volume | 143 | |
| journal issue | 11 | |
| journal title | Journal of Transportation Engineering, Part A: Systems | |
| identifier doi | 10.1061/JTEPBS.0000085 | |
| tree | Journal of Transportation Engineering, Part A: Systems:;2017:;Volume ( 143 ):;issue: 011 | |
| contenttype | Fulltext |