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    Automated Data Digitization System for Vehicle Registration Certificates Using Google Cloud Vision API
    (2022-07-01)
    Thammarak, Karanrat
    ;
    Sirisathitkul, Yaowarat
    ;
    Kongkla, Prateep
    ;
    Intakosum, Sarun
    This study aims to develop an automated data digitization system for the Thai vehicle registration certificate. It is the first system developed as a web service Application Programming Interface (API), which is essential for any enterprise to increase its business value. Currently, this system is available on “www.carjaidee.com”. The system involves four steps: 1) an embedded frame aligns a document to be correctly recognised in the image acquisition step; 2) sharpening and brightness filtering techniques to enhance image quality are applied in the pre-processing step; 3) the Google Cloud Vision API receives a prompt to proceed in the recognition step; 4) a specific domain dictionary to improve accuracy rate is developed for the post-processing step. This study defines 92 images for the experiment by counting the correct words and terms from the output. The findings suggest that the proposed method, which had an average accuracy of 93.28%, was significantly more accurate than the original method using only the Google Cloud Vision API. However, the system is limited because the dictionaries cannot automatically recognise a new word. In the future, we will explore solutions to this problem using natural language processing techniques.
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    Defect detection of GPS trackers through data visualization
    (2019-07-01)
    Chawuthai, Rathachai
    ;
    Threepak, Thanunchai
    A Global Positioning System (GPS) tracker installed in a vehicle is commonly used to improve logistics management processes and transportation safety. All GPS trackers must send data including locations, timestamps, and speeds to a server all the time. In case of a device failure, it can be checked by incomplete data; however, a device's sensor inaccuracy, which can create negative consequences to many parties, becomes a challenging issue to detect. With this reason, this paper aims to adopt data visualization to find out the defect of GPS trackers. It has been found that some defects noticed by a visualization were reported, and providers got advantage of this result to maintain their devices.
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    A Hybrid Method for Predicting a Potential Next Rest Stop of Commercial Vehicles
    (2018-01-01)
    Chawuthai, Rathachai
    ;
    Chankaew, Nattaphon
    ;
    Threepak, Thanunchai
    Long-distance trips such as freight and passenger transports over cities can create driver fatigue, so drivers prefer to get a rest for a while during their long-time driving. In Thailand, there are rest stops along main roads between cities, such as petrol stations, travel plazas, wayside parks, and scenic areas. In order to provide a better service to customers, the rest stops must have a good management, so the prediction of the number of potential vehicles in a period of time is primarily needed. One important task is to predict the next rest stop of every car at a period of time. Due to this requirement, this paper aims to introduce a prediction model for predicting the next rest stop of a vehicle by analyzing the global positioning system (GPS) tracking data of all commercial vehicles in Thailand. The proposed prediction model is a hybrid model that comprises of three scoring functions depended on the frequent pattern of connected rest stops, the direction of connected rest stops in a route, and the popularity of the rest stops. The experimental result shows that the proposed prediction model gives high accurate result in terms of the area under the receiver-operating-characteristic curve (AUC). This predicted result is also useful for a government department and rest stops' owner to improve transportation, road safety, and other service.
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    A framework for origin-destination estimation using license plate recognition for Thai rural traffic
    (2017-07-01)
    Praphananurak, Kitipong
    ;
    Sanghitkul, Winai
    ;
    Chovichien, Voraniti
    ;
    Watanachaturaporn, Pakorn
    Origin-Destination (OD) estimation is a crucial parameter for planning city transportation network. Classical methods for collecting the OD information including individual interviewing or using pressurized tube counting equipment; such example methods are practically limited by the number of people involved during observation and interview, traffic delay, budget, and short observation period. Accuracy from human observation and short observation period are doubtfully accurate. Using image processing technology, the OD estimation can be performed for longer period by analyzing vehicle movement from recorded video or online video feeds. Moreover, an individual average speed for each vehicle or type of vehicle are obtainable from identify the license plate number. This paper proposes of a framework for applying a license plate recognition technology for OD estimation for Thai rural traffic. The proposed framework obtains trustable estimation for each individual vehicle. The results can be verified later by human or other methods from recorded video. Therefore, higher accurate and trustable estimation is obtained and make available for later usage.
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    Urban forms, life-style, and energy consumption: A case of Bangkok metropolis
    (2008-01-01)
    Sahachaisaeree, Nopadon
    This study investigated the impact of urban form on the extent of energy consumption in the city. The research hypothesized that distinctiveness of land use pattern, density, and occupancy size were factors determining differentiated patterns of journey to work, fuel consumption, and living conditions. It applied a case study approach to compare three communities with three different spatial arrangements-inner, mid, and outer Bangkok - to reveal the pattern of daily travelling distance, mode of transportation, amount of household floor area per capita, and household electricity consumption as indicators differentiating the level of energy consumption. The study found a significant relationship between living density and the length of journey to employment and to obtain daily supply. The mixed-use physical settings of inner city with the availability of goods and services in proximity could reduce both travelling distance and frequency. Despite the fact that dwellers in the densely populated areas are willing to travel on foot, bicycles and mass transportation, the unavailability of bike-lane and inefficient public transportation were factors barring them to do so. The study also found two contradictory facts which complicated the energy conservation schemes in cities of developing countries-the energy sufficient high density living condition versus the dwellers' desires for a better quality of life. Dwellers in settlements of low density at the suburban areas tended to travel longer distance on automobiles, while the costly urban land in city centre mandated the settlement to grow vertically, and fostered a higher density living condition, which made residences in urban centre, consumed less energy than dwellers in outskirt. Populations with higher income, however, opted to live in a lower density community located in greater distance from their job and services in favour of higher quality of life. Frequent long journeys during weekends and long holidays toward vacation spots in outer provinces have been a norm.