This paper presents a case study of access optimisation for an airport situated in an urban area. Due to the fact that a national road is located near the airport, the access to and from the airport represents a problem. A research programme was initiated to optimise the access to the airport without disrupting the traffic flow in the national road. Two pieces of SDR equipment were used to evaluate the vehicular traffic characteristics including mean speed. Five days of continuous measurements were undertaken to obtain traffic density, flow rate and speed for different types of vehicles.The proposed solutions were studied to optimise the access, i.e. the effect of a traffic roundabout placed near the airport and the performance of traffic signals with adaptive controls.The two proposals were analysed using the Syncro 7 program. The study concludes that the best solution is the use of traffic signals with adaptive control, which minimises the delay time for the vehicles running on the national road. In this manner, access to the airport is ensured with a minimum delay (of around 20 seconds) for the case of maximum vehicular flow. The traffic roundabout on the other hand provides better access to the airport, but the time delay for vehicles on the national road increases.The study was developed upon request from the city council of Cluj-Napoca, Romania.
The paper develops an ana lysis of exhaust noise for a single-cylinder diesel engine tested in laboratory conditions. The acoustic signal at the engine exhaust system, for the speed range 1,300 – 2,700 rpm was measured and recorded. The results of the noise recordings were subjected to a processing from which the variation of the noise level depending on the engine speed was obtained. Next, the physiological effect of acoustic filtrations for noise recordings was analyzed by simulation. This allowed the optimization of the exhaust noise, having identified the areas and the optimal attenuation effect. In the performed simulations, it was found that the low frequencies require the highest attenuation background.
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