Iot based real time trafic control using cloud computing

Vardhana, M.; Arunkumar, N.; Abdulhay, Enas; Vishnuprasad, P. V.

doi:10.1007/s10586-018-2152-9

Cited by 17 publications

(5 citation statements)

References 15 publications

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“…The direct route to the destination is {J 1 , J 2 , J 3 , J 4 , J 5 }, while {J 1 , J 2 , J 8 , J 9 , J 11 , J 5 } is the indirect route to the destination. The adjacency matrix of the extracted graph is formed by merely putting one for connected intersections and zero for disconnected, as given below in Equation (3).…”

Section: Conversion Of Area Of Interest (Aoi) or Road Intersection To...mentioning

confidence: 99%

“…The driver stress can also turn to impatience, carelessness, and thus increase the possibility of traffic accidents and other social issues such as road rage. Secondly, there is also an enormous economic loss from traffic congestion [3]. Regardless of the extraordinary investment on transportation systems such as car navigation systems (e.g., Garmin, Waze, and TomTom), web services for route computation (e.g., Google Maps and Microsoft), and dynamic traffic assignment (DTA) [4], still ITS have persistent challenges (i.e., a time waste in traffic jams).…”

Section: Introductionmentioning

confidence: 99%

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Smart Route: Internet-of-Vehicles (IoV)-Based Congestion Detection and Avoidance (IoV-Based CDA) Using Rerouting Planning

2020

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Massive traffic jam is the top concern of multiple disciplines (Civil Engineering, Intelligent Transportation Systems (ITS), and Government Policy) presently. Although literature constitutes several IoT-based congestion detection schemes, the existing schemes are costly (money and time) and, as well as challenging to deploy due to its complex structure. In the same context, this paper proposes a smart route Internet-of-Vehicles (IoV)-based congestion detection and avoidance (IoV-based CDA) scheme for a particular area of interest (AOI), i.e., road intersection point. The proposed scheme has two broad parts: (1) IoV-based congestion detection (IoV-based CD); and (2) IoV-based congestion avoidance (IoV-based CA). In the given area of interest, the congestion detection phase sets a parametric approach to calculate the capacity of each entry point for real-time traffic congestion detection. On each road segment, the installed roadside unit (RSU) assesses the traffic status concerning two factors: (a) occupancy rate and (b) occupancy time. If the values of these factors (either a or b) exceed the threshold limits, then congestion will be detected in real time. Next, IoV-based congestion avoidance triggers rerouting using modified Evolving Graph (EG)-Dijkstra, if the number of arriving vehicles or the occupancy time of an individual vehicle exceeds the thresholds. Moreover, the rerouting scheme in IoV-based congestion avoidance also considers the capacity of the alternate routes to avoid the possibility of moving congestion from one place to another. From the experimental results, we determine that proposed IoV-based congestion detection and avoidance significantly improves (i.e., 80%) the performance metrics (i.e., path cost, travel time, travelling speed) in low segment size scenarios than the previous microscopic congestion detection protocol (MCDP). Although in the case of simulation time, the performance increase depends on traffic congestion status (low, medium, high, massive), the performance increase varies from 0 to 100%.

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Section: Conversion Of Area Of Interest (Aoi) or Road Intersection To...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Smart Route: Internet-of-Vehicles (IoV)-Based Congestion Detection and Avoidance (IoV-Based CDA) Using Rerouting Planning

2020

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“…Another widely-used example, the unification of the Image processing technology with the fields of CC and IoT can be employed to control and clearance of the traffic jams mainly for emergency situations that are closely bound up with life-saving priorities. The authors of (Vardhana et al, 2018) use this information-rich integration to avoid traffic jams in a very efficient way where the arrival of any ambulance is detected and handled according to its image and siren sound using both object detection and audio reorganization techniques, respectively. To clear the traffic and finding the best track for the ambulance, the route information is passed from one station to the next one along the way to the hospital.…”

Section: Digital Image Processing Iot and CCmentioning

confidence: 99%

“…To clear the traffic and finding the best track for the ambulance, the route information is passed from one station to the next one along the way to the hospital. Furthermore, by automatic detection of the car license plate number, a violation could be issued automatically by the traffic department to any vehicle that doesn't abide by the announcement of the ambulance's siren (Vardhana et al, 2018).…”

Section: Digital Image Processing Iot and CCmentioning

confidence: 99%

Cloud IoT as a Crucial Enabler: a Survey and Taxonomy

El-Omari¹

2019

MAS

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Commonly, the technology of information scales by an order of magnitude and with high probability reinvents itself every five years or so. However, the long-standing dream has definitely become a reality today that saying you need merely a credit card to get on-demand instant accesses to a large pool of thousands, if not millions of computers founded in tens of data centers scattered across the globe. As a matter of fact, Cloud Computing is indeed a new radical paradigm shift that evolved out of utmost needs for hosting and delivering all the things electronically as well-defined services over the Internet. Its aim is not only to provide improved computerized services but also innovative ones to every user from ordinary-home end-users to professional workers. Another further long-held dream of computing that has recently emerged as a reality is the CloudIoT paradigm where the cloud-based application platforms are enhanced to generate smart decisions and usable intelligence based on Internet-connected semi-autonomous smart small sensors that can sense, interrupt, and interchange data between each other as well as with the same computing clouds. With the intention of reaching the right cloud computing vision, it is, however, insufficient to just track a set of research and development actions that address the major concerns without practical support from both industrial and research communities. Rather, there is a necessity to enact a series of insight development strategies and policies that not only ensure that the right issues are well-timed addressed, but also that the most appropriate actions are taken and accomplished. Additionally, one of the key points to consider in this paper is that this in-depth evaluation of using Cloud computing may find points lacking in the cloud environments that could open up new research opportunities to be further investigated or enable new speed-to-market scenarios.

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“…The actuators perform a task when it gets a command. IoT system is also applied in many areas such as agriculture [4], health [5], traffic [6], and industry [7]. The Experiments with IoT and WSN encouraged us to develop a smart room [4].…”

Section: Introductionmentioning

confidence: 99%

Decrease Electricity Consumption in Rooms with IoT Technology

Seyyedabbasi¹

2020

IJISCS

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In this paper, we present a new IoT system to control electricity consumption in homes. The main goal of the proposed system is smart homes and devices. IoT systems also benefit sensor nodes and other heterogeneous things to work cooperatively. Wireless sensor network also has the main effect in the IoT projects. In the Proposed system, there are different sensors to control temperature, the light of rooms. Besides actuators to perform commands. There is an application to monitor and manage the room events and send notifications when is an event established. The main motivation for this study to balance energy consumption. In the proposed system, also there is a motion sensor to send events at an appropriate time. Also, the weather forecast API is used in the application to perform on some operations based on weather conditions. The proposed IoT system is suitable for monitoring and managing homes and energy consumption.

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Iot based real time trafic control using cloud computing

Cited by 17 publications

References 15 publications

Smart Route: Internet-of-Vehicles (IoV)-Based Congestion Detection and Avoidance (IoV-Based CDA) Using Rerouting Planning

Smart Route: Internet-of-Vehicles (IoV)-Based Congestion Detection and Avoidance (IoV-Based CDA) Using Rerouting Planning

Cloud IoT as a Crucial Enabler: a Survey and Taxonomy

Decrease Electricity Consumption in Rooms with IoT Technology

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