Vehicular traffic optimisation and even distribution using ant colony in smart city environment

Rehman, Abdul; Rathore, M. Mazhar; Paul, Anand; Saeed, Faisal; Ahmad, Raja Wasim

doi:10.1049/iet-its.2017.0308

Cited by 47 publications

(20 citation statements)

References 21 publications

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“…An ACO algorithm is a probabilistic technique for solving computational problems that can be reduced to find good paths through graphs. Within this category, the work done by Abdul Rehman et al [27] and Kponyo Jerry et al [28] stand out, where both solve the traffic congestion problem applying ACO.…”

Section: Related Workmentioning

confidence: 99%

Intelligent IoT systems for traffic management: A practical application

Guillén-Pérez

Cano

2021

IET Intelligent Trans Sys

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The incorporation of Artificial Intelligence algorithms in Intelligent Transportation Systems gives rise to new opportunities for a more sustainable urban mobility. However, one of the main challenges is to decide when and where these techniques should be applied; several options appear, such as cloud computing, fog computing, edge computing, or even edge devices. In this paper, an Internet of Things‐based solution for smart traffic management is presented. Using the lightweight Random Early Detection for Vehicles Dynamic mechanism as a basis, we optimize using evolutionary algorithms. Random Early Detection for Vehicles Dynamic can be applied in signaled intersections to proactively detect incipient congestion and set the best cycle and phases of traffic lights. Then, the authors demonstrate that once Random Early Detection for Vehicles Dynamic has been appropriately optimised offline, it can be later used in unknown traffic scenarios without the burden of applying Artificial Intelligence in constrained Internet of Things devices. The performance of this mechanism is widely tested with the SUMO simulation tool. Results show that this improved version, called iREDVD, notably reduces the vehicles’ waiting time, average trip time, fuel consumption, and emission of particles and gaseous pollutants compared with other proposals.

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Section: Related Workmentioning

confidence: 99%

Intelligent IoT systems for traffic management: A practical application

Guillén-Pérez

Cano

2021

IET Intelligent Trans Sys

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“…The delay in traffic information delivery, accidents, vehicles break down and are the major reasons of traffic congestion [19]. The electronic payment system contains specific software technologies including an automatic detection system for vehicles, which detects vehicles passing through with the help of hardware equipment [20][21]; an automated vehicle categorization system that identifies and categorizes the vehicle type; a transaction processing system that records the cross-axis transaction for the user, after identifying the vehicle [7]; and a system for identifying violations and deducting unpaid tolls [22]. Alongside this software technology, electronic toll payment systems make use of various hardware technologies for the paying of tolls on the highway including RFID Units, which respond to radio signals via a RFID chip installed in a unit or label on the windshield near the rear-view mirror of the vehicle [23]; video toll systems that use aerial cameras to identify vehicles at the toll [24]; a dedicated short-circuit communication system, including a transmitter and receiver, which deducts the desired amount from the inventory, based on credit cards [25]; and the visual protection surfaces (VPS) technique that stores vehicles' coordinates and sends transaction information to toll agents through the Global Mobile Communications System [7].…”

Section: Literature Reviewmentioning

confidence: 99%

Developing a Solution for Intelligent Urban Transportation Management Using the Internet of Things

2020

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The increasing use of technologies based on Internet of Things in cars and other transportation vehicles, as well as innovations in tracking systems and spatial information systems, have created the opportunity to collect tolls on urban roads in a more intelligent, more efficient, and a wider way. Considering the cultural and infrastructure variables in different cities, different approaches have been designed for this purpose, but so far, no work has been done in this area in Tehran. Therefore, in this research, a system of hardware and software based on the Internet of things was developed based on global positioning system (GPS)/ global system for mobile communication (GSM) for automated urban tolls in Tehran, which manages the location of a user's car and manages toll payments at any given moment. In addition, in this system, considering the cultural issues in the country, the infrastructure in the metropolis of Tehran, and important issues of the city, the trespass submission system is designed in accordance with the existing surveillance cameras and an infrared-based structure was used to reduce the burden of image processing in order to improve efficiency. The data obtained from this system will have more potential than only the urban toll management.

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“…Thus, with guaranteeing the usual level of the traffic flow on every path, the optimal path can be found since distributing the traffic on all the paths helps accomplish the maximum flow as well as the ideal denseness of the paths. This was the main objective of the work of Abdul Rehman et al [70] that used an ant algorithm.…”

Section: Nature Inspired Computing For the Maximum Flow Problemmentioning

confidence: 99%

The Maximum Flow Problem

Abd-Alsabour¹

2020

International Journal of Engineering Research and Technology

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In many fields, there exist various crucial applications that can be handled as maximum flow problems. Examples are: electrical power, airline scheduling, communication networks, computer sciences, etc. This clarifies why various researchers have handled them (which are NP optimization problems and a type of network optimization problems) with the utilization of various approaches. The paper explores this as we tackled it by the utilization of two approaches dealing with different instances from various domains. Furthermore, the approaches based on the network flow are addressed. Additionally, the latest applications of the most well-known as well as the recent approaches tackling this crucial optimization problem are detailed. Further, the approaches for dealing with other optimization problems based on the maximum flow as well as the most recent real-world applications are highlighted.

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Vehicular traffic optimisation and even distribution using ant colony in smart city environment

Cited by 47 publications

References 21 publications

Intelligent IoT systems for traffic management: A practical application

Intelligent IoT systems for traffic management: A practical application

Developing a Solution for Intelligent Urban Transportation Management Using the Internet of Things

The Maximum Flow Problem

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