Road traffic congestion in the developing world

V Jain, A Sharma, L Subramanian - … of the 2nd ACM Symposium on …, 2012 - dl.acm.org
Road traffic jams continue to remain a major problem in most cities around the world,
especially in developing regions resulting in massive delays, increased fuel wastage and …

Embedded CNN based vehicle classification and counting in non-laned road traffic

MS Chauhan, A Singh, M Khemka, A Prateek… - Proceedings of the tenth …, 2019 - dl.acm.org
Classifying and counting vehicles in road traffic has numerous applications in the
transportation engineering domain. However, the wide variety of vehicles (two-wheelers …

Computational sustainability and artificial intelligence in the developing world

J Quinn, V Frias-Martinez, L Subramanian - AI Magazine, 2014 - ojs.aaai.org
The developing regions of the world contain most of the human population and the planet's
natural resources, and hence are particularly important to the study of sustainability. Despite …

Accurate speed and density measurement for road traffic in India

R Sen, A Cross, A Vashistha… - Proceedings of the 3rd …, 2013 - dl.acm.org
Monitoring traffic density and speed helps to better manage traffic flows and plan
transportation infrastructure and policy. In this paper, we present techniques to measure …

Turning traffic surveillance cameras into intelligent sensors for traffic density estimation

Z Hu, WHK Lam, SC Wong, AHF Chow… - Complex & Intelligent …, 2023 - Springer
Accurate traffic density plays a pivotal role in the Intelligent Transportation Systems (ITS).
The current practice to obtain the traffic density is through specialized sensors. However …

Turning Traffic Monitoring Cameras into Intelligent Sensors for Traffic Density Estimation

Z Hu, WHK Lam, SC Wong, AHF Chow… - arXiv preprint arXiv …, 2021 - arxiv.org
Accurate traffic state information plays a pivotal role in the Intelligent Transportation Systems
(ITS), and it is an essential input to various smart mobility applications such as signal …

Automated vehicle density estimation from raw surveillance videos

F Mehboob, M Abbas, R Jiang, MA Tahir… - 2016 SAI Computing …, 2016 - ieeexplore.ieee.org
To enable an effective traffic management and signal control, it is important to know the road
traffic density. In recent years, video surveillance based systems and monitoring tools have …

DynCNN: Application Dynamism and Ambient Temperature Aware Neural Network Scheduler in Edge Devices for Traffic Control

O Shafi, SK Chauhan, G Ananthanarayanan… - Proceedings of the 5th …, 2022 - dl.acm.org
Road traffic congestion increases vehicular emissions and air pollution. Traffic rule violation
causes road accidents. Both pollution and accidents take tremendous social and economic …

Traffic congestion prediction and intelligent signalling based on markov decision process and reinforcement learning

S Surya, N Rakesh - … of International Conference on Cognition and …, 2018 - Springer
As the advancement of vehicular traffic, traffic congestion alleviation is desperately required
in urban cities. A fixed duration traffic light in an intersection can make a few empty lanes …

[PDF][PDF] Intelligent Vehicular Traffic Light Control using Hidden Markov Model

D Asamoah, S Winful, SO Oppong - academia.edu
Traffic management continues to remains a major problem in big cities. Allocating limited
resources, ie roads, to an increasing number of users with individual needs and objectives …