Agent Based Intelligent Traffic Management System for Smart Cities

2015 ◽  
Vol 9 (12) ◽  
pp. 307-316 ◽  
Author(s):  
Sabhijiit Singh Sandhu ◽  
Naman Jain ◽  
Aditya Gaurav ◽  
N. Ch. Sriman Narayana Iyengar
Keyword(s):  
Traffic Management ◽  
Management System ◽  
Smart Cities ◽  
Agent Based ◽  
Traffic Management System

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.

Dynamic Routing of Emergency Vehicles with Traffic Management System and Implementation on CupCarbon for Smart Cities

2021 ◽  
Vol 9 (11) ◽  
pp. 1407-1412
Keyword(s):  
Traffic Congestion ◽  
Traffic Management ◽  
Management System ◽  
Smart Cities ◽  
Maximum Speed ◽  
Emergency Vehicle ◽  
Traffic Light ◽  
Emergency Vehicles ◽  
Traffic Management System ◽  
On The Road

The traffic congestion is one of the major problems in crowded cities, which causes people to spend hours on the road. In traffic congestion situations, finding alternate routes for emergency vehicles, which provides shortest travel time to nearby hospital is critically life-saving issue. In this paper, we propose a traffic management system and an algorithm for routing of an emergency vehicle. The algorithm uses distance between source and destination, maximum vehicle count, maximum speed, average speed, traffic light conditions on the roads, which are assumed to support vehicle-to-infrastructure (V2I) communication in 5G IoT network. Simulations are performed on CupCarbon IoT simulator platform for various test scenarios. The performance of the proposed emergency vehicle routing algorithm is compared against well known Link State algorithm. And, the results demonstrate the effectiveness of the proposed method.

scholarly journals Advanced Traffic Management System using A Fuzzy Logic Controller to Differentiate Parking Vehicle and Moving Vehicle

2020 ◽  
Vol 9 (5) ◽  
pp. 488-494
Keyword(s):  
Fuzzy Logic ◽  
Internet Of Things ◽  
Traffic Management ◽  
Management System ◽  
Fuzzy Logic Controller ◽  
Fuzzy Controller ◽  
Smart Cities ◽  
Traffic Density ◽  
Moving Vehicle ◽  
Traffic Management System

In smart cities, traffic congestion is one of the significant problems for citizens. Traffic management is an essential one for the quick development of populace and urban movement in metropolitan areas, and traffic blockage is often seeming on streets. To handle different issues for managing traffic on the streets and to help experts in inappropriate arrangement, a smart traffic management system with the IoT (Internet of Things) is proposed in this paper. Mechanisms to utilize IR sensors to distinguish traffic density isn't easy as smooth a solo vehicle recognized at the last sensor so that it can suggest traffic density in high in any event, even if there is free space before it. A technique to be proposed to solve the previously mentioned issues efficiently is by utilizing the Internet of things for traffic management systems. This paper aims to propose a Fuzzy controller to deal with traffics in smart cities. Fuzzy induction used to compute exact traffic, which separates the parking vehicle and moving vehicle. There is an issue of separating parking and un-parking vehicles in the existing systems. So, we planned to solve this using fuzzy logic.

scholarly journals ICT based Smart Traffic Management System “iSMART” for Smart Cities

2019 ◽  
Vol 8 (3) ◽  
pp. 3920-3928 ◽  
Keyword(s):  
Traffic Management ◽  
Management System ◽  
Smart Cities ◽  
Route Optimization ◽  
Real Time Traffic ◽  
The People ◽  
Commute Time ◽  
Multiple Vehicles ◽  
Traffic Management System ◽  
Smart Traffic

Improvement in economic conditions and increased standard of living has made it possible for most of the people to own multiple vehicles for personal commute. These increased number of vehicles specifically four-wheeler and heavy vehicles while running on roads causes frequent traffic jams and longer commute time specifically in crowded areas. Unfortunately, putting restrictions on use of vehicles, cannot be the solution for such problems. Instead, a solution pertaining to efficient traffic management can help here. Today’s urban cities are prone to face traffic related problems due to increased four-wheeler and two-wheeler uses. To deal with such kind of issues, Smart Cities uses smart traffic management system, which is considered as necessity rather just a requirement. In this paper, a Smart Traffic Management System: iSMART based on IOT Sensors, image processing, GPS and Data Analytics based solution is proposed. iSMART system is not only easy to install and use but also more efficient than many other typical traffic management systems claiming to be smart. It provides route optimization planner based on real time traffic data analysis and considering various traffic situations. The paper has also discussed details of various existing traffic managements systems and their typical features.

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