The Degree of Complexity for a Separate Intersection and a Road Network
To analyze the operational performance of urban intersections, the degree of complexity was studied for a separate intersection and a road network. Conflict points and the probability of conflict were selected as two parameters, the model of degree of complexity for a separate intersection was developed, and specifications for parameters were provided. Then the study range was extended to the road network: a model of degree of complexity for road network under different density was constructed. Through an example, the model shows that the degree of complexity for a separate intersection increases with the number of lanes and that road network varies little when the volume for single lane is fixed. The results indicate that a high-density road network is more feasible for decreasing traffic conflict, which can be applied to transportation planning.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784412442
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Supplemental Notes:
- © 2012 American Society of Civil Engineers.
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Corporate Authors:
American Society of Civil Engineers
1801 Alexander Bell Drive
Reston, VA United States 20191-4400 -
Authors:
- Shen, Jiajun
- Wang, Wei
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Conference:
- Twelfth COTA International Conference of Transportation Professionals
- Location: Beijing , China
- Date: 2012-8-3 to 2012-8-6
- Publication Date: 2012-8
Language
- English
Media Info
- Media Type: Web
- Features: Figures; References; Tables;
- Pagination: pp 40-47
- Monograph Title: CICTP 2012: Multimodal Transportation Systems—Convenient, Safe, Cost-Effective, Efficient
Subject/Index Terms
- TRT Terms: Complex systems; Highway traffic control; Intersections; Traffic conflicts; Traffic density; Urban areas
- Uncontrolled Terms: Road networks
- Subject Areas: Highways; Operations and Traffic Management; I73: Traffic Control;
Filing Info
- Accession Number: 01500018
- Record Type: Publication
- ISBN: 9780784412442
- Files: TRIS, ASCE
- Created Date: Nov 12 2013 2:34PM