EVP-STC: Emergency Vehicle Priority and Self-Organising Traffic Control at Intersections Using Internet-of-Things Platform

Khan, Ajmal; Ullah, Farman; Kaleem, Zeeshan; Rahman, Shams; Anwar, Hafeez; Cho, You-Ze

doi:10.1109/access.2018.2879644

Cited by 29 publications

(21 citation statements)

References 28 publications

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“…Proposed approach is simulated using microscopic simulator VISSIM and result shows that waiting time of emergency vehicle is very much reduced at the same time negative impact of preemption on general traffic is significantly reduced. An approach to minimize average waiting time of emergency and non-emergency vehicle is presented by A. Khan et al [12]. In the proposed approach, emergency vehicle broadcasts emergency priority request periodically.…”

Section: Related Workmentioning

confidence: 99%

“…We have categorized these approaches in two categories namely Sensor based sensing and Message based sensing. Some of the TLC mechanisms [9], [11], [12], [15] discussed here uses different on-road detectors like inductive loop, acoustic sensor, camera, force resistive sensor, magnetic sensor and ultrasonic sensor for detection of EV and few of these sensors are also used for traffic density calculations. However, the challenge lies with these sensors is its deployment and maintenance.…”

Section: Traffic Environment Sensingmentioning

confidence: 99%

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Comparative Analysis of Traffic Light Control Mechanism for Emergency Vehicle

Dave¹,

Panchal²

2021

ijisae

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Traffic congestion during peak hours is a critical issue worldwide. Increasing number of vehicles, hence, traffic jams primarily near crossroads results into significant delay in emergency services vehicles. Surveys suggest that lives of many patients can be saved if emergency medical services could be reached in time. With the advancements in sensor and communication technology, it is now possible to provide improved solution to the delay resulting due to heavy traffic. Suggested solutions range from giving signaling priority to emergency vehicles to establishing a dedicated network to track the position of the emergency vehicle and ensuring an open route to the destination. This paper explores various mechanisms proposed for effective evacuation of vehicles on the route of emergency vehicle. Paper attempts to provide broader view and state of the work done in the said area. The study perceives the boundaries of existing traffic light pre-emption mechanisms, leading to several significant gaps that require further exploration. These gaps include implementation of proper system architecture, use of efficient communication technology, inclusion of real-time traffic data for optimized pre-emption of traffic light, prioritizing emergency vehicles to resolve conflict between multiple emergency vehicles and misuse prevention.

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Section: Related Workmentioning

confidence: 99%

Section: Traffic Environment Sensingmentioning

confidence: 99%

Comparative Analysis of Traffic Light Control Mechanism for Emergency Vehicle

Dave¹,

Panchal²

2021

ijisae

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“…If R msg is detected, alarm message is generated, acknowledgment is sent back to the client device and R msg is printed on screen. The microcontroller in the server device utilizes the Haversine formula [30] to determine the distance between the client device and server. This process is defined by the following Equation (1):…”

Section: System Architecture Of the Rdsp Schemementioning

confidence: 99%

RDSP: Rapidly Deployable Wireless Ad Hoc System for Post-Disaster Management

Khan

Munir

Kaleem

et al. 2020

Sensors

Self Cite

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In post-disaster scenarios, such as after floods, earthquakes, and in war zones, the cellular communication infrastructure may be destroyed or seriously disrupted. In such emergency scenarios, it becomes very important for first aid responders to communicate with other rescue teams in order to provide feedback to both the central office and the disaster survivors. To address this issue, rapidly deployable systems are required to re-establish connectivity and assist users and first responders in the region of incident. In this work, we describe the design, implementation, and evaluation of a rapidly deployable system for first response applications in post-disaster situations, named RDSP. The proposed system helps early rescue responders and victims by sharing their location information to remotely located servers by utilizing a novel routing scheme. This novel routing scheme consists of the Dynamic ID Assignment (DIA) algorithm and the Minimum Maximum Neighbor (MMN) algorithm. The DIA algorithm is used by relay devices to dynamically select their IDs on the basis of all the available IDs of networks. Whereas, the MMN algorithm is used by the client and relay devices to dynamically select their next neighbor relays for the transmission of messages. The RDSP contains three devices; the client device sends the victim's location information to the server, the relay device relays information between client and server device, the server device receives messages from the client device to alert the rescue team. We deployed and evaluated our system in the outdoor environment of the university campus. The experimental results show that the RDSP system reduces the message delivery delay and improves the message delivery ratio with lower communication overhead.

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“…In the traffic‐responsive control scheme, it uses traffic information of sensors located at intersections to determine how to control traffic light, such as extending or terminating the green phase. In [19], Khan et al constructed a platform and EVP‐STC protocol, which can effectively reduce the delay of emergency vehicles. Compared with the fixed‐timed controller, traffic‐responsive control scheme could decrease the average waiting time of vehicles and maximise the traffic throughput.…”

Section: Related Workmentioning

confidence: 99%