Abstract
The 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.
Highlights
Urban gated communities create a boundary separating the road system from the open community outside the walls or fences
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
When the travel time is less than 20 s, the correlation between the opening entropy value and the journey delay time exhibit a good linear correlation which indicates a smooth traffic flow
Summary
Urban gated communities create a boundary separating the road system from the open community outside the walls or fences. In order to evaluate the opening state of gated communities, it is necessary to analyze the mechanisms of traffic flow congestion at the boundary road networks accurately. The latest Highway Capacity Manual (HCM) [2] used a level of service that was defined into six grades to evaluate road performance in the United States It is perhaps not appropriate for the urban traffic state in China which has a specific road network structure. Lozano et al [5] proposed a recognition algorithm for road congestion levels by analyzing real-time traffic flow data based on the K-means clustering analysis algorithm. An outside road system analysis and influential factor evaluation of the traffic state at the boundaries around gated communities, which has the ability to decide the opening hours, is the objective of the present work. A case study based on a simulated gated community is carried out to demonstrate the performance and applicability of the proposed method
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