A traffic control method for single channel with limited vehicles based on dynamic real-time traffic flow

GU Qinghua, CHEN Lu, LU Caiwu, FENG Zhidong, JING Shigun

Systems Engineering - Theory & Practice ›› 2017, Vol. 37 ›› Issue (9) : 2423-2430.

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Systems Engineering - Theory & Practice ›› 2017, Vol. 37 ›› Issue (9) : 2423-2430. DOI: 10.12011/1000-6788(2017)09-2423-08

A traffic control method for single channel with limited vehicles based on dynamic real-time traffic flow

  • GU Qinghua1, CHEN Lu1, LU Caiwu1, FENG Zhidong2, JING Shigun3
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Abstract

In order to solve traffic conflict in narrow single channel, improve traffic efficiency and ensure traffic safety and adaptive control in traffic signal of single channel ends with traffic flow dynamic detection, a traffic control method for single channel with limited vehicles based on GPS real-time traffic flow has been put forward. Firstly, the three regions of scanning area, waiting area, single channel should be divided in single channel and ends. Using GPS positioning data, ten states of vehicle can be confirmed by real-time traffic flow analysis. The analysis model of single channel traffic control strategy is built to dynamically summarize the traffic flow data and analyze saturation of traffic flow. Then, the principles of "to each according to his needs" and "total quantity control at the ends" are adopted. A adaptive traffic signal control method is put forward. Finally, this method is applied in a single adit of large open pit to control traffic. The application shows that:it not only effectively controls two-way limited traffic of single channel, but also avoids traffic conflict of transport vehicles, reduces the "waiting in vain" time and vehicles' fuel consumption and greatly improve the traffic efficiency of vehicles.

Key words

GPS / limited vehicle / single channel / traffic signal control

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GU Qinghua , CHEN Lu , LU Caiwu , FENG Zhidong , JING Shigun. A traffic control method for single channel with limited vehicles based on dynamic real-time traffic flow. Systems Engineering - Theory & Practice, 2017, 37(9): 2423-2430 https://doi.org/10.12011/1000-6788(2017)09-2423-08

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Funding

National Natural Science Foundation of China (51404182)
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