Communication Improvement and Traffic Control Based on V2I in Smart City Framework

2020 ◽  
pp. 1620-1636
Author(s):  
Mamata Rath ◽  
Bibudhendu Pati
Keyword(s):  
Soft Computing ◽  
Traffic Control ◽  
Traffic Management ◽  
Smart Cities ◽  
Intelligent Vehicles ◽  
Traffic Information ◽  
Congested Traffic ◽  
Intelligent Communication ◽  
Traffic Management System ◽  
Online Traffic

This article describes how soft computing techniques are tolerant of imprecision, intended on approximation, focus on uncertainty and are based on partial truth. Current real-world problems pertaining to congested traffic is pervasively imprecise and therefore design of smart traffic control system is a challenging issue. Due to the increasing rate of vehicles at traffic points in smart cities, it creates unexpected delays during transit, chances of accidents are higher, unnecessary fuel consumption is an issue, and unhygienic environment due to pollution also degrades the health condition of general people in a normal city scenario. To avoid such problems many smart cities are currently implementing improved traffic control systems that work on the principle of traffic automation to prevent these issues. The basic challenge lies in the usage of real-time analytics performed with online traffic information and correctly applying it to some traffic flow. In this research article, an enhanced traffic management system called SCICS (Soft Computing based Intelligent Communication System) has been proposed which uses swarm intelligence as a soft computing technique with intelligent communication between smart vehicles and traffic points using the vehicle to infrastructure (V2I) concept of VANET. It uses an improved route diversion mechanism with implemented logic in nanorobots. Under a vehicular ad-hoc network (VANET) scenario, the communication between intelligent vehicles and infrastructure points takes place through nanorobots in a collaborative way. Simulation carried out using Ns2 simulator shows encouraging results in terms of better performance to control the traffic.

Communication Improvement and Traffic Control Based on V2I in Smart City Framework

2018 ◽  
Vol 2 (1) ◽  
pp. 18-33 ◽  
Author(s):  
Mamata Rath ◽  
Bibudhendu Pati
Keyword(s):  
Soft Computing ◽  
Traffic Control ◽  
Traffic Management ◽  
Smart Cities ◽  
Intelligent Vehicles ◽  
Traffic Information ◽  
Computing Technique ◽  
Smart Vehicles ◽  
Soft Computing Techniques ◽  
Intelligent Communication

This article describes how soft computing techniques are tolerant of imprecision, intended on approximation, focus on uncertainty and are based on partial truth. Current real-world problems pertaining to congested traffic is pervasively imprecise and therefore design of smart traffic control system is a challenging issue. Due to the increasing rate of vehicles at traffic points in smart cities, it creates unexpected delays during transit, chances of accidents are higher, unnecessary fuel consumption is an issue, and unhygienic environment due to pollution also degrades the health condition of general people in a normal city scenario. To avoid such problems many smart cities are currently implementing improved traffic control systems that work on the principle of traffic automation to prevent these issues. The basic challenge lies in the usage of real-time analytics performed with online traffic information and correctly applying it to some traffic flow. In this research article, an enhanced traffic management system called SCICS (Soft Computing based Intelligent Communication System) has been proposed which uses swarm intelligence as a soft computing technique with intelligent communication between smart vehicles and traffic points using the vehicle to infrastructure (V2I) concept of VANET. It uses an improved route diversion mechanism with implemented logic in nanorobots. Under a vehicular ad-hoc network (VANET) scenario, the communication between intelligent vehicles and infrastructure points takes place through nanorobots in a collaborative way. Simulation carried out using Ns2 simulator shows encouraging results in terms of better performance to control the traffic.

scholarly journals Mobile Road Traffic Management System Using Weighted Sensor

2017 ◽  
Vol 11 (5) ◽  
pp. 147 ◽  
Author(s):  
Solomon Adegbenro Akinboro ◽  
Johnson A Adeyiga ◽  
Adebayo Omotosho ◽  
Akinwale O Akinwumi
Keyword(s):  
Real Time ◽  
Traffic Control ◽  
Urban Areas ◽  
Traffic Management ◽  
Management System ◽  
Road Traffic ◽  
Traffic Information ◽  
Traffic Light ◽  
Real Time Traffic ◽  
Traffic Management System

<p><strong>Vehicular traffic is continuously increasing around the world, especially in urban areas, and the resulting congestion ha</strong><strong>s</strong><strong> be</strong><strong>come</strong><strong> a major concern to automobile users. The popular static electric traffic light controlling system can no longer sufficiently manage the traffic volume in large cities where real time traffic control is paramount to deciding best route. The proposed mobile traffic management system provides users with traffic information on congested roads using weighted sensors. A prototype of the system was implemented using Java SE Development Kit 8 and Google map. The model </strong><strong>was</strong><strong> simulated and the performance was </strong><strong>assessed</strong><strong> using response time, delay and throughput. Results showed that</strong><strong>,</strong><strong> mobile devices are capable of assisting road users’ in faster decision making by providing real-time traffic information and recommending alternative routes.</strong></p>

scholarly journals Enhanced Traffic Management System using Artificial Intelligent Congestion Control

2020 ◽  
Vol 9 (8) ◽  
pp. 1015-1018
Keyword(s):  
Urban Communities ◽  
Traffic Congestion ◽  
Smart City ◽  
Traffic Management ◽  
Traffic Information ◽  
Real Time Traffic ◽  
Suitable Site ◽  
Traffic Management System ◽  
Online Traffic ◽  
The Internet Of Things

The smart city proposed by government is providing better infrastructure with possible automated device. Every smart city proposes to provide smart transport through automated traffic management .The peak hours face the congestion road and many traffic irregularities. The congested road aids in poor Travel experience, environmental pollution and health hazards by vehicular fuel. The solution to aforesaid issues leads to traffic Automation in urban communities. To implement the traffic automation need access to real time traffic congestion information, best possible route and alternate strategy with online traffic information applicable to specific traffic stream. An more suitable site visitors manipulate and MF has been mentioned to finish short information transmission and their corresponding motion performed via artificial intelligence. The VANET scenario, congestion manage algorithm executed through mobile agent controller uniformly organizes the traffic glide by way of heading off the congestion at the smart visitors zone ,The law-enforcement bodies ,the fire opponents and the clinical and/or paramedical teams consciousness on elevated quantity of crime in addition to lifestyles losses through site visitors irregularities. The benefits of adopting the internet of things(iot)provide a new prospect for intelligent site visitors improvement.

Ensuring the implementation of the modernized structure and automation of air traffic control processes in the area of responsibility of the Moscow district of air traffic control

2018 ◽  
pp. 46-54
Author(s):  
A. V. Strukova
Keyword(s):  
Traffic Control ◽  
Traffic Management ◽  
Air Traffic Control ◽  
Management System ◽  
Air Traffic Management ◽  
Air Traffic ◽  
Security System ◽  
System Description ◽  
Functional Capabilities ◽  
Traffic Management System

The article considers the new automated air traffic management system «Synthesis AR4», as well as a system description for ensuring the implementation of a modernized airspace structure, navigation and surveillance that provides technical capabilities. A number of functional capabilities and advantages of the airspace security system are presented.

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.

scholarly journals An IoT Based Intelligent Traffic Management System and Its Implementation on Cupcarbon for Smart Cities

2021 ◽  
Vol 9 (11) ◽  
pp. 1387-1394
Keyword(s):  
Traffic Management ◽  
Management System ◽  
Smart Cities ◽  
Simulation Environment ◽  
Traffic Light ◽  
Traffic Lights ◽  
Sensory Data ◽  
Test Operation ◽  
Traffic Management System ◽  
Alternate Routes

This paper proposes an internet of things (IoT) based intelligent traffic management system that can aid problematic traffic situations in smart cities by classifying congestions via sensory data, and then controlling traffic lights and creating alternate routes for incoming vehicles to the congested zones in order to relieve or avoid congestions completely. The proposed intelligent traffic management system consists of different subsystems such as Test Operation, Supervisory, Traffic Light, and Pathfinder subsystems. The system is represented by flowcharts with their explanations and its operation with some defined scenarios is validated with the CupCarbon simulation environment.

Keep Moving, Stay Tuned

Transfers ◽  
2018 ◽  
Vol 8 (2) ◽  
pp. 67-86 ◽  
Author(s):  
Marith Dieker
Keyword(s):  
Media Studies ◽  
Traffic Control ◽  
Traffic Management ◽  
Sociotechnical Systems ◽  
The Other ◽  
Traffic Information ◽  
Traffic Jams ◽  
Information Updates ◽  
The 1960S

With the rise of privatized automobility and the increase of traffic jams, new sociotechnical systems have emerged that aim at traffic control. Radio traffic information has been a key element in these systems. Through a qualitative analysis of historical radio broadcasts of the largest Dutch news station between 1960 and 2000, this article explores the changing format and content of traffic information updates. I will show how the rather formal, detailed, and paternalistic narratives of the traffic reports in the 1960s gave way to more informal, witty, yet flow-controlling traffic information discourse in later decades. I will explain the dynamics involved by drawing on mobility and media studies and by developing two distinct notions of flow, one of which builds conceptually on Raymond Williams’s work on mobile privatization, the other is grounded in the field of traffic management. In so doing, this article aims to contribute to a better understanding of the role of public radio broadcasts in our world of privatized automobility.

Pilot Performance and Workload Using Traffic Displays to Support Free Flight

1998 ◽  
Vol 42 (1) ◽  
pp. 52-56 ◽  
Author(s):  
M. Ephimia Morphew ◽  
Christopher D. Wickens
Keyword(s):  
Traffic Control ◽  
Traffic Management ◽  
Air Traffic Management ◽  
Air Traffic ◽  
Flight Simulation ◽  
Traffic Information ◽  
Free Flight ◽  
Pilot Performance ◽  
Or Efficiency ◽  
Innovative Solutions

Arising from the need to employ innovative solutions to safely and efficiently maintain air traffic separation in increasingly denser skyways, the concept of Free Flight involves shifting some air traffic management responsibilities from air traffic control specialists on the ground, to pilots in the cockpit. Such a shift in traffic management responsibilities will be critically dependent upon the development of displays to provide traffic and hazard information to pilots in the cockpit (Wickens, Carbonari, Merwin, Morphew, & O'Brien (1997; Battiste (in progress); Johnson, Battiste, Delzell, Holland, Belcher, & Jordan, 1997). This research examined the effect of different information-varying display aids (predictors and threat vectors) for in-cockpit traffic displays, on pilot performance, workload, attentional demands, and flight safety. Fifteen pilots flew a series of traffic avoidance scenarios in a Free Flight simulation designed to assess the effects of different levels of traffic display information on these pilot variables. Three, 2D-coplanar prototype displays were compared which differed in the level of traffic information provided. Analysis of the data revealed that the traffic display with the most predictive information supported increased safety and decreased workload, without appreciable decrements in flight performance or efficiency.

scholarly journals Smart Alarm Traffic Management System for the Major Road to Isolation Hospital during the Covid-19 Pandemic in Port Said City

2021 ◽  
Vol 10 (1) ◽  
pp. 282-288
Keyword(s):  
Quality Of Life ◽  
Traffic Management ◽  
Respiratory Symptoms ◽  
Major Road ◽  
Smart Transportation ◽  
Congested Traffic ◽  
Traffic Management System ◽  
Smart Traffic ◽  
Port Said

Transportation is an important feature that affects the quality of life. Huge increase in population, modernization in all aspects of life, and cities expansion lead to a more congested traffic that may be acceptable for in-emerging trips but enormous for emergency trips, especially for COVID 19 patients with severe respiratory symptoms. Smart transportation techniques offer solutions to the congestion problemsfor different modes of transportation and traffic management. In this paper, a smart traffic solution to the congestion problem in the major road to isolation hospital in Port Said City is presented.

scholarly journals Smart Accident Detection and Switching of Traffic Signal

2019 ◽  
Vol 9 (2) ◽  
pp. 1142-1145
Keyword(s):  
Traffic Control ◽  
Traffic Management ◽  
Traffic Signals ◽  
Traffic Signal ◽  
Rf Receiver ◽  
Mems Sensor ◽  
Traffic Control System ◽  
Traffic Management System ◽  
Smart Traffic ◽  
Accident Detection

An accident is one of the major causes of unnatural and untimely death. This is one of the serious issues throughout the world. Most of the accidents occur due to vehicle factors, improper traffic management, and lack of timely help. With the increase in the number of vehicles, it may be little hard to keep away from such accidents on road. The main objective is to implement the new advancements in saving human lives by detecting the occurrence of the accident in a vehicle and by directing the ambulance to the accident location without time delay. Also by implementing smart traffic control system, the ambulance moves to medical centre in an effective way without any stall in the traffic signals. Automation of accident detection is implemented by sensor-based ambulance management with the smart traffic management system. It consists of Crash sensor and MEMS sensor for detecting the accident in the vehicle and RF transmitter on the ambulance to communicate with the RF Receiver located on the traffic signal. This helps the ambulance to cross the junction switching the signals from Red to Green when the signal is received by the ambulance.

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