Priority based and secured traffic management system for emergency vehicle using IoT

Chowdhury, Abdullahi

doi:10.1109/icemis.2016.7745309

Cited by 46 publications

(17 citation statements)

References 14 publications

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“…Usually, the department establishes a target travel time for an EV, but it is difficult to meet in most cases. Study [11] proposes a novel Intelligent Traffic System (ITS) that takes into account the priorities of EVs depending on the kind of event and a mechanism for detecting and reacting to traffic signal hacking to address this problem directly. A simulation experiment was carried out.…”

Section: Literature Reviewmentioning

confidence: 99%

Autonomous Traffic System for Emergency Vehicles

2022

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An emergency can occur at any time. To overcome that emergency efficiently, we require seamless movement on the road to approach the destination within a limited time by using an Emergency Vehicle (EV). This paper proposes an emergency vehicle management solution (EVMS) to determine an efficient vehicle-passing sequence that allows the EV to cross a junction without any delay. The proposed system passes the EV and minimally affects the travel times of other vehicles on the junction. In the presence of an EV in the communication range, the proposed system prioritizes the EV by creating space for it in the lane adjacent to the shoulder lane. The shoulder lane is a lane that cyclists and motorcyclists will use in normal situations. However, when an EV enters the communication range, traffic from the adjacent lane will move to the shoulder lane. As the number of vehicles on the road increases rapidly, crossing the EV in the shortest possible time is crucial. The EVMS and algorithms are presented in this study to find the optimal vehicle sequence that gives EVs the highest priority. The proposed solution uses cutting-edge technologies (IoT Sensors, GPS, 5G, and Cloud computing) to collect and pass EVs’ information to the Roadside Units (RSU). The proposed solution was evaluated through mathematical modeling. The results show that the EVMS can reduce the travel times of EVs significantly without causing any performance degradation of normal vehicles.

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Section: Literature Reviewmentioning

confidence: 99%

Autonomous Traffic System for Emergency Vehicles

2022

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“…Smart transportation management system integrates information technology, artificial intelligence, transportation management etc. to develop an effective transformational service system [9][10][11][12][13][14][15].…”

Section: Related Workmentioning

confidence: 99%

Modelling Smart Road Traffic Congestion Control System Using Machine Learning Techniques

Ata¹,

Khan²,

Abbas³

et al. 2019

NNW

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By the dramatic growth of the population in cities requires the traffic systems to be designed efficiently and sustainably by taking full advantage of modern-day technology. Dynamic traffic flow is a significant issue which brings about a block of traffic movement. Thus, for tackling this issue, this paper aims to provide a mechanism to predict the traffic congestion with the help of Artificial Neural Networks (ANN) which shall control or minimize the blockage and result in the smoothening of road traffic. Proposed Modeling Smart Road Traffic Congestion Control using Artificial Back Propagation Neural Networks (MSR2C-ABPNN) for road traffic increase transparency, availability and efficiency in services offered to the citizens. In this paper, the prediction of congestion is operationalized by using the algorithm of backpropagation to train the neural network. The proposed system aims to provide a solution that will increase the comfort level of travellers to make intelligent and better transportation decision, and the neural network is a plausible approach to find traffic situations. Proposed MSR2C-ABPNN with Time series gives attractive results concerning MSE as compared to the fitting approach.

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“…Even though it is not always advisable to use the green wave concept, but in this paper, it is justified as it helps clear the way in front of the EV. Chowdhury (2016) proposed an information dissemination system based on a new MAC protocol named FDP-MAC (Frequency and Distance based Priority) in order to send emergency messages to the center of traffic management and to other vehicles with less delays. Thus, a Radio Frequency Sensor Units (RFSUs) is utilized as well as Signal Aggregators (SAs), Signal Stations (SSs).…”

Section: Parts Involvedmentioning

confidence: 99%

Implementation of Absolute Priority in a Predictive Traffic Actuation Schemes

Boudhrioua

Shatanawi

2019

Period. Polytech. Transp. Eng.

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Nowadays, the improvement of the emergency vehicles' priority is required to improve their response time. Presently, the emergency vehicles alert the road users using the sirens and lights, which might cause disturbances in the traffic or lead to accidents due to the unpredictability of the road users' behaviors. This paper introduces the priority indicator, which calculates the priority of several emergency vehicles as they approach an intersection and sort them in a way that allows granting priority to each one without causing delays neither for the emergency nor for the normal vehicles. The priority indicator is then introduced in a predictive traffic actuation program (DIRECTOR) that adjusts the signal timing in a dynamic way. Thus, this research aims to create a generalized priority form that simplifies granting the priority for emergency vehicles in a harmonized way in all over the Netherlands, making sure that it takes into consideration the several conditions of the intersection.

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Priority based and secured traffic management system for emergency vehicle using IoT

Cited by 46 publications

References 14 publications

Autonomous Traffic System for Emergency Vehicles

Autonomous Traffic System for Emergency Vehicles

Modelling Smart Road Traffic Congestion Control System Using Machine Learning Techniques

Implementation of Absolute Priority in a Predictive Traffic Actuation Schemes

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