Abstract
In this paper, we propose a novel pattern-based method to model the classification and transition properties of traffic flow. First, fuzzy set classification method is utilized to divide the traffic states, where the states are partitioned into a number of patterns. Then, fuzzy qualitative reasoning is applied to analyze the transitions between the states. Based on the probability of transition, stability of the traffic states is further investigated. Finally, a case study on urban transportation system is performed to demonstrate the usage of the proposed approach.
| Translated title of the contribution | Pattern-based study on urban transportation system state and properties with fuzzy reasoning methods |
|---|---|
| Original language | Chinese (Simplified) |
| Pages (from-to) | 83-87 |
| Journal | 交通运输系统工程与信息 |
| Volume | 8 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - Oct 2008 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
Research Keywords
- 模式
- 模糊集合
- 状态核
- 定性推理
- Pattern
- Fuzzy set
- State core
- Qualitative reasoning
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