Traffic Control and Management Over IoT for Clearance of Emergency Vehicle in Smart Cities

2018 ◽  
pp. 121-130 ◽  
Author(s):  
Biru Rajak ◽  
Dharmender Singh Kushwaha
Keyword(s):  
Traffic Control ◽  
Smart Cities ◽  
Emergency Vehicle ◽  
Control And Management

scholarly journals Dynamic Traffic Control and Management System for Smart Cities

2018 ◽  
Vol 12 (4) ◽  
pp. 216-225
Author(s):  
Abdul Mateen ◽  
Sabeen Sher ◽  
Amjad Rehman ◽  
Zahid Hanif ◽  
Tooba Bajwa ◽  
...  
Keyword(s):  
Traffic Control ◽  
Management System ◽  
Smart Cities ◽  
Dynamic Traffic ◽  
Control And Management

Internet of Thing Based Smart Traffic Control Signal Using Solar Energy

2020 ◽  
Vol 17 (12) ◽  
pp. 5334-5338
Author(s):  
V. Kalpana ◽  
S. Shanthi ◽  
A. Sagai Francis Britto ◽  
N. B. Prakash
Keyword(s):  
Solar Energy ◽  
Information And Communication Technologies ◽  
Traffic Control ◽  
Smart Cities ◽  
Traffic Monitoring ◽  
Control Signal ◽  
Raspberry Pi ◽  
Emergency Vehicle ◽  
Smart Traffic ◽  
Internet Of Thing

Nowadays traffic congestion is major problem in all over the cities. The cities are renovated to “smart cities” by using Information and Communication Technologies (ICT). The IoT are playing a vital role in smart cities. This work proposes Internet of Thing (IoT) based smart traffic control signal using solar energy for smart cities. This signal is always coordinated with the emergency vehicle like ambulance to discover the signal and select the route where road traffic is dynamically controlled and the traffic violation vehicles are identified by traffic monitoring officers through internet. The traffic control signal lights are automatically controlled by Raspberry Pi controller with the help of IR sensor and RF signal. If any emergency vehicle will come nearby traffic control signal then the green signal shows for emergency vehicle and the remaining paths are shows as red signal.

scholarly journals Privacy-Preserving Smart Road-Pricing System with Trustworthiness Evaluation in VANETs

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3658
Author(s):  
Qingfeng Zhu ◽  
Sai Ji ◽  
Jian Shen ◽  
Yongjun Ren
Keyword(s):  
Traffic Control ◽  
Traffic Management ◽  
Location Privacy ◽  
Vehicular Ad Hoc Networks ◽  
Intelligent Transportation System ◽  
Smart Cities ◽  
Security Analysis ◽  
Geographical Location ◽  
Experimental Simulation ◽  
Control Center

With the advanced development of the intelligent transportation system, vehicular ad hoc networks have been observed as an excellent technology for the development of intelligent traffic management in smart cities. Recently, researchers and industries have paid great attention to the smart road-tolling system. However, it is still a challenging task to ensure geographical location privacy of vehicles and prevent improper behavior of drivers at the same time. In this paper, a reliable road-tolling system with trustworthiness evaluation is proposed, which guarantees that vehicle location privacy is secure and prevents malicious vehicles from tolling violations at the same time. Vehicle route privacy information is encrypted and uploaded to nearby roadside units, which then forward it to the traffic control center for tolling. The traffic control center can compare data collected by roadside units and video surveillance cameras to analyze whether malicious vehicles have behaved incorrectly. Moreover, a trustworthiness evaluation is applied to comprehensively evaluate the multiple attributes of the vehicle to prevent improper behavior. Finally, security analysis and experimental simulation results show that the proposed scheme has better robustness compared with existing approaches.

Smart Traffic Control: Identifying Driving-Violations using Fog Devices with Vehicular Cameras in Smart Cities

2021 ◽  
pp. 102986
Author(s):  
M. Mazhar Rathore ◽  
Anand Paul ◽  
Seungmin Rho ◽  
Murad Khan ◽  
S. Vimal ◽  
...  
Keyword(s):  
Traffic Control ◽  
Smart Cities ◽  
Smart Traffic

Energy-Saving Methods for Urban Travel and Public Transportation in Smart Cities

2022 ◽  
Author(s):  
Shan Li ◽  
Ying Gao ◽  
Tao Ba ◽  
Wei Zhao
Keyword(s):  
Energy Saving ◽  
Public Transportation ◽  
Traffic Control ◽  
Smart Cities ◽  
Learning Technologies ◽  
General Strategy ◽  
Smart Transportation ◽  
Urban Travel ◽  
Emissions Mitigation ◽  
The Impact

In many countries, energy-saving and emissions mitigation for urban travel and public transportation are important for smart city developments. It is essential to understand the impact of smart transportation (ST) in public transportation in the context of energy savings in smart cities. The general strategy and significant ideas in developing ST for smart cities, focusing on deep learning technologies, simulation experiments, and simultaneous formulation, are in progress. This study hence presents simultaneous transportation monitoring and management frameworks (STMF ). STMF has the potential to be extended to the next generation of smart transportation infrastructure. The proposed framework consists of community signal and community traffic, ST platforms and applications, agent-based traffic control, and transportation expertise augmentation. Experimental outcomes exhibit better quality metrics of the proposed STMF technique in energy saving and emissions mitigation for urban travel and public transportation than other conventional approaches. The deployed system improves the accuracy, consistency, and F-1 measure by 27.50%, 28.81%, and 31.12%. It minimizes the error rate by 75.35%.

scholarly journals Digital Transformation using Iot in Smart Environment Applications

2020 ◽  
Vol 9 (7) ◽  
pp. 47-50
Keyword(s):  
Control System ◽  
Traffic Control ◽  
Smart Cities ◽  
Smart Services ◽  
Research Areas ◽  
Searching Strategy ◽  
Review Protocol ◽  
Traffic Control System ◽  
Research Questions

With increasing usage of technologies and smart solutions smart cities are developed and enabled with many smart services. This paper has conducted a systematic literature review to find out IOT applications and its role in Traffic Control System. The review protocol is formulated to define some of the research questions, searching strategy, selection criteria of papers and how data is extracted. This paper contributed towards one main issue: The various research areas of Internet of Things and Role of IOT in the Traffic Control Services? All the papers were categorized by the application services of IOT and Traffic Control services they discussed. All the recent work were categorised under the application in various area like traffic and transport; Agriculture; Security; Healthcare; energy management; city infrastructure; and modes of transport. This paper reviews the various methods of traffic control system in different perspective of different IOT application areas.

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