IoT-enabled traffic analysis

Wu, Linna; Li, Huan; Ren, Feng; Zhang, Lizhuo

doi:10.1145/3302505.3312588

Cited by 3 publications

(2 citation statements)

References 7 publications

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“…Traffic congestion is a serious problem in big cities where the population is more. In this paper [11] the traffic is controlled using GPS which is used to detect the position of the moving cars. IOT is installed in the moving car which is guided by GPS.…”

Section: Literature Surveymentioning

confidence: 99%

“…Sirens are used function of any traffic signal is to assign right way to allow emergency vehicles such as ambulances, police cars, and fire trucks. The traffic analysis in [1,6,11] is based on selection of vehicles by photoelectric sensors, radio frequency identification and GPS. Adaptive traffic signal control [4] method considers a number of factors on traffic to determine green light sequence and the optimal green light length.…”

Section: Introductionmentioning

confidence: 99%

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IoT Based Traffic Signal Control for Ambulance

Reeta¹,

Kirithiga²,

Kumar³

et al. 2020

IJEAT

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In modern era, due to increase in traffic in the city, emergency vehicles take more time to reach the destination. The current, time-based traffic management system is not suitable and also not flexible for present day traffic, especially at the intersection where the traffic needs to be controlled for vehicles from all four directions. To solve this problem, we bring users a sound detector with automatic recording of various vehicle sounds and distinguishing the presence of ambulance in a particular lane by detecting the siren sound. The captured ambulance sound is processed using IOT and sent to the traffic pole to enhance the traffic clearance. This is carried out by placing the sensors in each lane and a sensor near the traffic pole to indicate that the ambulance has crossed the lane. In this method the traffic signal controller decides when the vehicle has to cross the road and also provide importance to the emergency vehicle.

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Section: Literature Surveymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%