Script-based traffic signal management for arterial road section group on Mobile
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- Chia-Chun Yen
- Department of Computer Science, National Yang Ming Chiao Tung University, Hsinchu, Taiwan
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- Yu-Chen Cheng
- Artificial Intelligence and Data Sciencey, National Chung Hsing University, Taichung, Taiwan
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- Guan-Wen Chen
- Department of Computer Science, National Yang Ming Chiao Tung University, Hsinchu, Taiwan
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- Tsì-Uí İk
- Department of Computer Science, National Yang Ming Chiao Tung University, Hsinchu, Taiwan
抄録
Simultaneously controlling the signs of each intersection in the arterial road sections grouping based on the concept of arterial signal progression is the trend of traffic control over the past few years since traffic conditions are usually regional and diffuse, and the regulation of a single intersection sign can only achieve limited improvement. While adjusting a signal controller using traditional method, there are multiple parameters needed to be confirmed and set. To further control the intersection of other continuing sections, it is required to switch the signs sequentially by entering different intersection operation interfaces, which not only has a higher error rate, but also makes it difficult to relieve the traffic flow at the first moment since there will be a time lag in the change of the signal at each intersection. In order to solve this problem, we propose a sensing-active event script operation mode and a UI design based on arterial traffic signal control on the basis of the existing traffic log network. When the system detects changes in the performance of road sections (heavy traffic or congestion), it will trigger the number control adjustment mechanism, which links the website controlled by the real-time signal sent through the network system to the communication group in the operator's mobile phone.
収録刊行物
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- IEICE Proceeding Series
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IEICE Proceeding Series 70 PS4-16-, 2022-09-28
The Institute of Electronics, Information and Communication Engineers
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キーワード
詳細情報 詳細情報について
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- CRID
- 1390294031762575872
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- ISSN
- 21885079
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- 本文言語コード
- en
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- データソース種別
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- JaLC
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- 抄録ライセンスフラグ
- 使用不可