Traffic Congestion Control Synchronizing and Rerouting Using LoRa

Kumar, D. Manoj; Arthi, R.; Aravindhan, C.; Roc'h, Anne; Priyadarsini, K.; Deny, J.

doi:10.1016/j.micpro.2021.104048

Cited by 13 publications

(4 citation statements)

References 17 publications

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“…The topic of selecting a state-encoding technique was also discussed. Kumar et al [68] proposed a synchronization method for two traffic signals using the Long Range (LoRa) module. It uses the time division algorithm to get the traffic information so that the rerouting of vehicles can be done during the peak hours.…”

Section: Development Status Of Synchronization Of Traffic Lightsmentioning

confidence: 99%

State-of-Art Review of Traffic Light Synchronization for Intelligent Vehicles: Current Status, Challenges, and Emerging Trends

2022

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The effective control and management of traffic at intersections is a challenging issue in the transportation system. Various traffic signal management systems have been developed to improve the real-time traffic flow at junctions, but none of them have resulted in a smooth and continuous traffic flow for dealing with congestion at road intersections. Notwithstanding, the procedure of synchronizing traffic signals at nearby intersections is complicated due to numerous borders. In traditional systems, the direction of movement of vehicles, the variation in automobile traffic over time, accidents, the passing of emergency vehicles, and pedestrian crossings are not considered. Therefore, synchronizing the signals over the specific route cannot be addressed. This article explores the key role of real-time traffic signal control (TSC) technology in managing congestion at road junctions within smart cities. In addition, this article provides an insightful discussion on several traffic light synchronization research papers to highlight the practicability of networking of traffic signals of an area. It examines the benefits of synchronizing the traffic signals on various busy routes for the smooth flow of traffic at intersections.

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Section: Development Status Of Synchronization Of Traffic Lightsmentioning

confidence: 99%

State-of-Art Review of Traffic Light Synchronization for Intelligent Vehicles: Current Status, Challenges, and Emerging Trends

2022

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“…A study focused on preventing non-recurring road traffic congestion caused by previous and secondary incidents [18]. The role of the traffic monitoring control (TMC) facility in ensuring the timely resolution of traffic congestion was elaborated in a study carried out in [16] to resolve traffic congestion using cognitive radio, deep learning techniques, and long-range (LoRa) modules. The experiment used a centralised model to help the TMC inform road users to avoid areas of the road that are already congested.…”

Section: Review Of Related Workmentioning

confidence: 99%

The validity of a decentralised simulation-based system for the resolution of Road traffic congestion

Noma‐Osaghae

Okokpujie²,

Famoroti³

et al. 2022

J Appl Eng Science

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Intelligent transport systems are cheaper and easier to implement than other forms of solutions to road traffic congestion. Intelligent Transport Systems (ITS) allow information about road traffic to be collected and transmitted to the Traffic Controllers to respond to traffic congestion appropriately. This research study aims to design and test a simulation-based intelligent transport system for predicting traffic flow patterns. The simulation-based system proposed has a decentralised configuration. Road sections are isolated digitally in a decentralised structure and fed relevant information to predict future traffic states and transmit predicted information to other road sections. Two models of control configuration are created based on the same road network, the first is a decentralised model, and the second is a centralised model (no isolated road sections) to be used as a data source for the decentralised model. The simulated system used decentralised model configurations to predict traffic patterns at road intersections. Due to the lack of actual traffic data, a centralised model serves as the digital twin for the designed decentralised model. The two models were simulated using Anylogic Personal Learning Edition 8.5.2. simulation software, and after testing and result extraction, it was discovered that the decentralised model configuration was not valid for representing the non-uniformity of actual-world traffic patterns. The decentralised model had too few similar inflow and outflow rates to the centralised model in both the complex and straightforward road network cases. However, the decentralised model scored 89% in vehicle population density compared to the centralised model in the simple road network case but could not replicate the good result when the road network becomes complex.

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“…Regrettably, many tourist destinations face significant difficulties due to a lack of environmentally friendly public transportation and gridlock (Jain et al. , 2017; Kumar et al. , 2021; Bautista et al.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Numerous modes of transportation can be classified into three broad categories: (1) air transport, (2) land transport and (3) water transport (Zahran et al, 2008;Sierpiski, 2011;Lin and Zhang, 2021). Regrettably, many tourist destinations face significant difficulties due to a lack of environmentally friendly public transportation and gridlock (Jain et al, 2017;Kumar et al, 2021;Bautista et al, 2022). While tourists today have a plethora of transportation options, all modes of travel face a number of issues.…”

Section: Literature Reviewmentioning

confidence: 99%

A unique destination and transportation: current issues and possible solutions

Özgit

Uludağ

2022

WHATT

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PurposeThe purpose of this study is twofold. First, to consider the ways in which transportation could be more sustainable in North Cyprus, which is mostly dependent on tourism and higher education as a small island destination. Second, to investigate current issues in the transportation sector related to the impact of the COVID-19 pandemic.Design/methodology/approachThis study employed a qualitative approach, and a descriptive analysis technique was used to analyse semi-structured interviews, conducted by telephone and face-to-face. To investigate current problems in the North Cyprus transportation sector – one of the most affected by the pandemic – travel agencies were chosen as the study’s population and research participants were selected purposively.FindingsThe findings indicate that the unpredictability of domestic policies combined with the structural challenges confronting North Cyprus contribute to unsustainable current transportation policies. North Cyprus transport and tourism both suffered significant losses during the pandemic but travel agencies were disproportionately impacted. Our study results showed that exorbitant ticket prices, taxes and transportation costs have emerged as the most significant issues in the transportation sector.Research limitations/implicationsMore efficient and accurate policies that meet the needs of the sector and give opportunity for development are required. This is a critical issue for policymakers to address, as they also represent a significant barrier to the sector's long-term competitiveness.Originality/valueTo the best of the authors' knowledge, this is the first qualitative study to look at North Cyprus’ transportation problems from the perspective of travel agencies and the impact of the pandemic. It is thought that this study will contribute to the development of solutions for transportation problems and sustainable practices in small island developing states.

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Traffic Congestion Control Synchronizing and Rerouting Using LoRa

Cited by 13 publications

References 17 publications

State-of-Art Review of Traffic Light Synchronization for Intelligent Vehicles: Current Status, Challenges, and Emerging Trends

State-of-Art Review of Traffic Light Synchronization for Intelligent Vehicles: Current Status, Challenges, and Emerging Trends

The validity of a decentralised simulation-based system for the resolution of Road traffic congestion

A unique destination and transportation: current issues and possible solutions

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