Smart Traffic Lights Change Patterns to Keep Traffic Moving

2015 ◽  
Vol 85 (9) ◽  
pp. 39-39
Author(s):  
David Hill
Keyword(s):  
Traffic Lights ◽  
Smart Traffic

scholarly journals Automated Pollution Detection System using IoT and AWS Cloud

2019 ◽  
Vol 8 (11) ◽  
pp. 3955-3960
Keyword(s):  
Mobile Application ◽  
Web Application ◽  
Detection System ◽  
Smart Cities ◽  
Traffic Monitoring ◽  
Traffic Lights ◽  
Pollution Detection ◽  
Smart Cars ◽  
Smart Traffic ◽  
The Web

Smart cities are one of the upcoming trends in the world. These smart cities include smart traffic light system, smart cars, smart homes, smart traffic monitoring system. As environmental pollution has become the major cause of various problems like climatic changes, improper irrigation methods, depletion of the ozone layer etc. “Automated Pollution Detection System using IoT and AWS Cloud” provides an architecture for integrating IoT and Cloud Computing and an application which is used to detect air pollution by fitting in arduino devices at public places like traffic lights, industrial areas, construction areas etc., and transferring the data using GSM modem to a cloud database server AWS RDS. The cloud server is linked with the EC2 instance (Ubuntu server) in order to publish the web application using EC2. Web Application which is created using Word press and a Mobile application using Android Studio. The Web application shows the value of pollutant at a particular place along with the map facility by using GPS in the Arduino. This is also linked to a mobile application which sends a push notification service (SNS) to our mobile application

scholarly journals Designing a Smart Traffic Light Algorithm (HMS) Based on Modified Round Robin Algorithm

2017 ◽  
Vol 2 (1) ◽  
pp. 27-30
Author(s):  
Hozan Khalid Hamarashid ◽  
Miran Hama Rahim Saeed ◽  
Soran Saeed
Keyword(s):  
Traffic Congestion ◽  
Fixed Time ◽  
Traffic Load ◽  
Traffic Light ◽  
Traffic Jam ◽  
Traffic Lights ◽  
Traffic System ◽  
Light System ◽  
Smart Traffic ◽  
Fixed System

Nowadays, traffic light system is very important to avoid car crashes and arrange traffic load. In the Sulaimani City / Iraq, there are many traffic problems such as traffic congestion or traffic jam and the amount of time provided manually to the traffic light system. This is the main difficulty that we try to solve. The traffic lights exist but still do not manage traffic congestion due to the fixed time provided for each lane regardless of their different load. Therefore, we are proposing to change the traditional traffic system to smart traffic system (adaptive system). This paper Focuses on the existing system (fixed system), then propose the adaptive one. The main crucial side effects of the existing system are:   Emergency cases: congested traffics might block the way of emergencies for instance ambulance, which transports people to the hospital Wasting time of people generally and specially Delays, which lead people to not to be punctual, this means people arrive late to the work  Wasting more fuels as staying more in the traffics, which affects the environment by increasing pollution.

Cloud-Based Smart Traffic Lights Monitoring and Controlling Using IoT

2021 ◽  
pp. 137-147
Author(s):  
K. Jairam Naik ◽  
Naveen Sundar ◽  
Shristi Agrawal ◽  
Nilesh Singhania
Keyword(s):  
Traffic Lights ◽  
Smart Traffic

scholarly journals A measure theoretic approach to traffic flow optimisation on networks

2018 ◽  
Vol 30 (6) ◽  
pp. 1187-1209 ◽  
Author(s):  
SIMONE CACACE ◽  
FABIO CAMILLI ◽  
RAUL DE MAIO ◽  
ANDREA TOSIN
Keyword(s):  
Traffic Flow ◽  
Gradient Descent ◽  
Optimal Control Problems ◽  
Theoretic Approach ◽  
Nonlinear Transport ◽  
Traffic Lights ◽  
First Order ◽  
Flow Problems ◽  
Non Local ◽  
Smart Traffic

We consider a class of optimal control problems for measure-valued nonlinear transport equations describing traffic flow problems on networks. The objective is to minimise/maximise macroscopic quantities, such as traffic volume or average speed, controlling few agents, e.g. smart traffic lights and automated cars. The measure theoretic approach allows to study in a same setting local and non-local drivers interactions and to consider the control variables as additional measures interacting with the drivers distribution. We also propose a gradient descent adjoint-based optimisation method, obtained by deriving first-order optimality conditions for the control problem, and we provide some numerical experiments in the case of smart traffic lights for a 2–1 junction.

A Novel Wireless Mobility Monitoring and Tracking System

2016 ◽  
Vol 4 (2) ◽  
pp. 55-71 ◽  
Author(s):  
Antonio J. Fernández-Ares ◽  
Antonio Miguel Mora-Garcia ◽  
María I. García-Arenas ◽  
Pablo García-Sánchez ◽  
Gustavo Romero ◽  
...  
Keyword(s):  
Tracking System ◽  
Portable Devices ◽  
Traffic Flows ◽  
Average Speed ◽  
Traffic Lights ◽  
The Road ◽  
System Nodes ◽  
Smart Traffic ◽  
The City ◽  
Computing Speed

This paper presents a mobility monitoring system, based on the detection of Bluetooth and WiFi signals emitted by personal portable devices. The work also describes its possibilities of tracking in two real scenarios, one inside the Spanish city of Granada, and another one in a highway between Granada and Málaga, both with several detection nodes. They have been deployed trying to solve one of the most difficult issues in the city, namely the automatic and accurate hourly monitoring of traffic, in order to synchronise the traffic lights, for instance. Moreover, their deployment in a highway might be very useful for other traffic issues, such as computing the average speed in a section of the road. Thus, this system could be used as a tool for smart city and smart traffic. In the experiments, the datasets gathered by the system nodes are analysed, yielding useful information for the automatic detection of rush hours, the identification of traffic flows and computing speed rates.

scholarly journals Smart Traffic Lights over Vehicular Named Data Networking

Information ◽  
2019 ◽  
Vol 10 (3) ◽  
pp. 83 ◽  
Author(s):  
Majed Al-qutwani ◽  
Xingwei Wang
Keyword(s):  
Traffic Congestion ◽  
Fixed Time ◽  
Light Signal ◽  
Vehicular Traffic ◽  
Named Data Networking ◽  
Traffic Light ◽  
Traffic Lights ◽  
Light System ◽  
Smart Traffic ◽  
Data Networking

The existing traffic light system fails to deal with the increase in vehicular traffic requirements due to fixed time programming. Traffic flow suffers from vehicle delay and congestion. A new networking technology called vehicular ad hoc networking (VANET) offers a novel solution for vehicular traffic management. Nowadays, vehicles communicate with each other (V2V), infrastructure (V2I), or roadside units (V2R) using IP-based networks. Nevertheless, IP-based networks demonstrate low performance with moving nodes as they depend on communication with static nodes. Currently, the research community is studying a new networking architecture based on content name called named data networking (NDN) to implement it in VANET. NDN is suitable for VANET as it sends/receives information based on content name, not content address. In this paper, we present one of VANET’s network applications over NDN, a smart traffic light system. Our system solves the traffic congestion issue as well as reducing the waiting time of vehicles in road intersections. This system replaces the current conventional system with virtual traffic lights (VTLs). Instead of installing traffic lights at every intersection, we utilize a road side unit (RSU) to act as the intersection controller. Instead of a light signal, the RSU collects the orders of vehicles that have arrived or will arrive at the intersection. After processing the orders according to the priority policy, the RSU sends an instant message for every vehicle to pass the intersection or wait for a while. The proposed system mimics a human policeman intersection controlling. This approach is suitable for autonomous vehicles as they only receive signals from the RSU instead of processing many images. We provide a map of future work directions for enhancing this solution to take into account pedestrian and parking issues.

Sign in / Sign up

Export Citation Format

Share Document