A collaborative approach to autonomous single intersection control

Hulea, Mihai; Folea, Silviu; Leţia, Tiberiu; Moiş, George

doi:10.1109/med.2011.5983112

Cited by 4 publications

(2 citation statements)

References 12 publications

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“…The need for air quality measuring over large underground subway areas, such as waiting rooms, platforms, and tunnels, necessitates wireless connectivity for the measuring device. Wireless sensor networks represent a vast and active research area in which a large number of applications have been proposed, including indoor air quality monitoring and control [25], structural health monitoring [26], and traffic monitoring [27]. Figure 6 shows an air quality monitoring system for subway stations.…”

Section: Air Quality Monitoring System In a Subwaymentioning

confidence: 99%

Air Pollution Monitoring and Control System for Subway Stations Using Environmental Sensors

et al. 2016

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The metropolitan city of Seoul uses more energy than any other area in South Korea due to its high population density. It also has high emissions of air pollutants. Since an individual usually spends most of his/her working hours indoors, the ambient air quality refers to indoor air quality. In particular, PM10concentration in the underground areas should be monitored to preserve the health of commuters in the subway system. Seoul Metro and Seoul Metropolitan Rapid Transit Corporation measure several air pollutants regularly. In this study, the accuracy of an instrument for PM measurement using the light scattering method was improved with the help of a linear regression analysis technique to continuously measure thePM10concentrations in subway stations. In addition, an air quality monitoring system based on environmental sensors was implemented to display and record the data of PM10, CO2, temperature, and humidity. Through experimental studies, we found that ventilation fans could improve air quality and decrease PM10concentrations in the tunnels effectively by increasing the air flow rate.

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Section: Air Quality Monitoring System In a Subwaymentioning

confidence: 99%

Air Pollution Monitoring and Control System for Subway Stations Using Environmental Sensors

et al. 2016

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“…The stratified hierarchical method was utilized for adjusting phase difference or signal cycle among all intersections. Fuzzy controller was expanded to wider occasions [8,9,10,11,12]. In literature [13,14], urban intersection control method with the adaptive strategy was proposed.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Control of Intersection Signal Based on Optimized Genetic Algorithm

Cao¹,

Wang²

2016

Proceedings of the 2016 International Conference on Civil, Transportation and Environment

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In order to adapt to the complex traffic and reduce the delay brought by simple traffic model, an improved adaptive genetic fuzzy control method was put forward for intersection traffic signal control. In order to improve the computational efficiency , the population size should be adjusted and the Gaussian membership function should be used. Dealing with local optimum happens in the early process of evolutionary algorithms, the method of increasing the part of the crossover and mutation probability has been used, so the stagnation of evolution process during high fitness individuals was avoid. To test the effectiveness and adaptability of this method , the classic method and the improved method was made to make the simulation respectively under high traffic flow, and the average delay data as a judge. The validation results show that the improved fuzzy control are effective in reducing the average vehicle delay in middle and later periods of the simulation. So that the efficiency of intersection traffic is increased.

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