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The emerging of the intelligent transportation system especially in the research area of traffic surveillance and solving traffic congestions, become notably crucial for traffic operators in the aim of achieving efficient vehicle flow. However, behavioural manoeuvres that describe the pattern of vehicles movements and change of the vehicle flow are not sufficiently modeled based on the conventional...
Traffic flow pattern appears to be random and makes it more challenging to model and analyse. This paper aims to present a traffic model based on NaSchr model, but with a revised rule for randomisation. User can trigger a manual braking on certain cars and its effect on traffic flow can be observed and analysed. The traffic cellular automata model with manual braking mode is applied to a single lane...
Cellular automata is popular for their simplicity and the tremendous potential they hold in simulating complex systems. This paper aims to provide different traffic cellular automata approaches used by researchers over the past decades. This paper also presents a traffic model based on one-dimensional cellular automaton rule 184 (CA-184). The methodology describes the basic CA-184 rule and introduces...
Traffic data obtained from surveillance system has been vital for traffic operators to monitor the traffic flow at a traffic intersection. However, detailed information of the traffic flow such as the behavioural manoeuvres is not sufficiently provided by the inductive-loop traffic detectors. Thus, vehicles trajectory dataset is selected as traffic data input in traffic simulation for modelling the...
Image segmentation has been widely applied in image analysis for various areas such as biomedical imaging, intelligent transportation systems and satellite imaging. The main goal of image segmentation is to simplify an image into segments that have a strong correlation with objects in the real world. Homogeneous regions of an image are regions containing common characteristics and are grouped as single...
A new algorithm for license plate character recognition is proposed on the basis of Signature analysis properties and features extraction. Signature analysis has been used to locate license plate region and its properties can be further utilised in supporting and affirming the license plate character recognition. This paper presents the implementation of Signature Analysis combined with Features Extraction...
Image segmentation with low computational burden has been highly regarded as important goal for researchers. Various image segmentation methods are widely discussed and more noble segmentation methods are expected to be developed when there is rapid demand from the emerging machine vision field. One of the popular image segmentation methods is by using normalised cuts algorithm. It is unfavourable...
In this paper, a new algorithm for Automatic License Plate Localisation and Recognition (ALPR) is proposed on the basis of isotropic dilation that can be achieved using the binary image Euclidean distance transform. In a blob analysis problem, any two Region of Interest (RoIs) that is discontinuous are typically treated as separate blobs. However, the proposed algorithm combine with Connected Component...
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