IoT Based Smart Transport Management System

Agarwal, Vartika; Sharma, Sachin

doi:10.1007/978-981-16-3653-0_17

Cited by 13 publications

(2 citation statements)

References 8 publications

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“…The Traffic Message Channel (TMC) delivers real-time traffic information to motorists, who can make use of mobile phones, portable navigation devices (PNDs), and in-vehicle navigation systems for dynamic route navigation. TMC is also used by commercial traffic service providers, which can broadcast real-time traffic messages to drivers on the road [46,47].…”

Section: Singaporementioning

confidence: 99%

Development of Smart Mobility Infrastructure in Saudi Arabia: A Benchmarking Approach

Alanazi

2023

Sustainability

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Smart mobility systems offers solutions for traffic congestion, transport management, emergency, and road safety. However, the success of smart mobility lies in the availability of intelligent transportation infrastructure. This paper studied smart mobility systems in three Asia-Pacific countries (South Korea, Singapore, and Japan) to highlight the major strategies leading their successful journey to become smart cities for aspiring countries, such as the Kingdom of Saudi Arabia (KSA), to emulate. A robust framework for evaluating smart mobility systems in the three countries and Saudi Arabia was developed based on the indicators derived from the smart mobility ecosystem and three major types of transport services (private, public, and emergency). Sixty indicators of smart mobility systems were identified through a rigorous search of the literature and other secondary sources. Robots, drones, IoT, 5G, hyperloop tunnels, and self-driving technologies formed part of the indicators in those countries. The study reveals that the three Asia-Pacific countries are moving head-to-head in terms of smart mobility development. Saudi Arabia can join these smarter countries through inclusive development, standardization, and policy-driven strategies with clear commitments to public, private, and research collaborations in the development of its smart mobility ecosystem. Moreover, cybersecurity must be taken seriously because most of the smart mobility systems use wireless and IoT technologies, which may be vulnerable to hacking, and thus impact system safety. In addition, the smart mobility system should include data analytics, machine learning, and artificial intelligence in developing and monitoring the evaluation in terms of user experience and future adaptability.

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Section: Singaporementioning

confidence: 99%

Development of Smart Mobility Infrastructure in Saudi Arabia: A Benchmarking Approach

Alanazi

2023

Sustainability

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“…IoT is an emerging concept that allows smart communication between multiple electronic devices and sensors through the Internet without requiring human interaction [ 23 ]. Common IoT applications are for smart homes [ 24 ], smart farming [ 25 ], smart transport [ 26 ], smart cities [ 27 ], and smart security [ 28 ]. The architecture of IoT consists generally of four main layers [ 29 , 30 ].…”

Section: Introductionmentioning

confidence: 99%

Comparing Efficiency and Performance of IoT BLE and RFID-Based Systems for Achieving Contact Tracing to Monitor Infection Spread among Hospital and Office Staff

Gendy

Tham

Harrison

et al. 2023

Sensors

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COVID-19 is highly contagious and spreads rapidly; it can be transmitted through coughing or contact with virus-contaminated hands, surfaces, or objects. The virus spreads faster indoors and in crowded places; therefore, there is a huge demand for contact tracing applications in indoor environments, such as hospitals and offices, in order to measure personnel proximity while placing as little load on them as possible. Contact tracing is a vital step in controlling and restricting pandemic spread; however, traditional contact tracing is time-consuming, exhausting, and ineffective. As a result, more research and application of smart digital contact tracing is necessary. As the Internet of Things (IoT) and wearable sensor device studies have grown in popularity, this work has been based on the practicality and successful implementation of Bluetooth low energy (BLE) and radio frequency identification (RFID) IoT based wireless systems for achieving contact tracing. Our study presents autonomous, low-cost, long-battery-life wireless sensing systems for contact tracing applications in hospital/office environments; these systems are developed with off-the-shelf components and do not rely on end user participation in order to prevent any inconvenience. Performance evaluation of the two implemented systems is carried out under various real practical settings and scenarios; these two implemented centralised IoT contact tracing devices were tested and compared demonstrating their efficiency results.

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Network Resource Allocation Security Techniques and Challenges for Vehicular Communication Network Management

Agarwal

Sharma

Bansal

2022

Intelligent Systems Reference Library

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IoT Based Smart Transport Management System

Cited by 13 publications

References 8 publications

Development of Smart Mobility Infrastructure in Saudi Arabia: A Benchmarking Approach

Development of Smart Mobility Infrastructure in Saudi Arabia: A Benchmarking Approach

Comparing Efficiency and Performance of IoT BLE and RFID-Based Systems for Achieving Contact Tracing to Monitor Infection Spread among Hospital and Office Staff

Network Resource Allocation Security Techniques and Challenges for Vehicular Communication Network Management

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