A review of vision-based traffic semantic understanding in ITSs
J Chen, Q Wang, HH Cheng, W Peng… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
A semantic understanding of road traffic can help people understand road traffic flow
situations and emergencies more accurately and provide a more accurate basis for anomaly …
situations and emergencies more accurately and provide a more accurate basis for anomaly …
Toward planet-wide traffic camera calibration
Despite the widespread deployment of outdoor cameras, their potential for automated
analysis remains largely untapped due, in part, to calibration challenges. The absence of …
analysis remains largely untapped due, in part, to calibration challenges. The absence of …
Intellıgent transportatıon system applıcatıons: a traffıc management perspectıve
The rapid increase in population has increased the traffic density in urban areas. In current
scenario, the major challenges faced by transportation systems are congestion, accidents …
scenario, the major challenges faced by transportation systems are congestion, accidents …
Traffic density estimation and traffic control using convolutional neural network
AK Ikiriwatte, DDR Perera… - … on Advancements in …, 2019 - ieeexplore.ieee.org
The existing traffic light control systems are inefficient due to the usage of predefined
algorithms on offline data. This causes in numerous problems such as long delays and a …
algorithms on offline data. This causes in numerous problems such as long delays and a …
Robust automatic monocular vehicle speed estimation for traffic surveillance
Even though CCTV cameras are widely deployed for traffic surveillance and have therefore
the potential of becoming cheap automated sensors for traffic speed analysis, their large …
the potential of becoming cheap automated sensors for traffic speed analysis, their large …
Estimating traffic density on roads using convolutional neural network with batch normalization
Traffic Jam is one of the major problems of modern urban life. Regardless of the socio-
economic structure of a country, almost all the countries of the world suffer from this problem …
economic structure of a country, almost all the countries of the world suffer from this problem …
[Retracted] Research on Urban Traffic Industrial Management under Big Data: Taking Traffic Congestion as an Example
Y Zhang, S Yang, H Zhang - Journal of Advanced …, 2022 - Wiley Online Library
This paper establishes a prediction model of traffic flow, where three cycle dependent
components are used to model three characteristics of traffic data, respectively. CNN is used …
components are used to model three characteristics of traffic data, respectively. CNN is used …
Traffic density estimation using transfer learning with pre-trained inceptionresnetv2 network
Traffic jam is a major problem in urban areas. It is a global-scale problem, and almost every
country and every city face this to some extent. Traffic jam is a man-made problem. That …
country and every city face this to some extent. Traffic jam is a man-made problem. That …
Traffic density estimation using progressive neural architecture search
The current research work is to develop an automated system for estimating the traffic
density of roads at traffic junctions and proposed a traffic control algorithm for smooth …
density of roads at traffic junctions and proposed a traffic control algorithm for smooth …
A novel approach of traffic density estimation using CNNs and computer vision
LAT Nguyen, TX Ha - European Journal of Electrical Engineering and …, 2021 - ejece.org
In modern life, we face many problems, one of which is the increasingly serious traffic jam.
The cause is the large volume of vehicles, inadequate infrastructure and unreasonable …
The cause is the large volume of vehicles, inadequate infrastructure and unreasonable …