Dynamic Evaluation on the Traffic State of an Urban Gated Community by Opening the Micro-Inter-Road Network
AbstractThe opening of a gated community to expand the micro-road network in an urban traffic system is an importance research topic related to urban congestion. To satisfy the demands of opening an early choosing case, this paper proposes a comprehensive selection framework on qualified communities and their appropriate opening times by describing the traffic state at the boundary road network accurately. The traffic entropy model and fuzzy c-means (FCM) method are used in this paper. In the framework, a new opening evaluation entropy model is built using basic theory of the thermodynamic traffic entropy method. The traffic state entropy values of the boundary road network and entropy production are calculated to determinate the opening time. In addition, a specific fuzzy range evaluation standard at a preset gated community is drawn with an FCM algorithm to verify the opening determination. A case study based on the traffic information in a simulated gated community in Shanghai is evaluated and proves that the findings of opening evaluation are in accordance with the actual situation. It is found that the micro-inter-road network of a gated community should be opened as the entropy value reaches 2.5. As the travel time is less than 20 s, the correlation between the opening entropy value and the journey delay time exhibits a good linear correlation, which indicates smooth traffic flow. View Full-Text
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Dong, L.; Rinoshika, A.; Tang, Z. Dynamic Evaluation on the Traffic State of an Urban Gated Community by Opening the Micro-Inter-Road Network. Technologies 2018, 6, 71.
Dong L, Rinoshika A, Tang Z. Dynamic Evaluation on the Traffic State of an Urban Gated Community by Opening the Micro-Inter-Road Network. Technologies. 2018; 6(3):71.Chicago/Turabian Style
Dong, Lin; Rinoshika, Akira; Tang, Zhixian. 2018. "Dynamic Evaluation on the Traffic State of an Urban Gated Community by Opening the Micro-Inter-Road Network." Technologies 6, no. 3: 71.
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