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• W2564227947 abstract "The Prediction of Bus Arrival Time Using Automatic Vehicle Location Systems Data. (December 2004) Ran Hee Jeong, B.S., Hong-ik University; M.S., Hong-ik University Co-Chairs of Advisory Committee: Dr. Laurence R. Rilett Dr. Amy Epps Martin Advanced Traveler Information System (ATIS) is one component of Intelligent Transportation Systems (ITS), and a major component of ATIS is travel time information. The provision of timely and accurate transit travel time information is important because it attracts additional ridership and increases the satisfaction of transit users. The cost of electronics and components for ITS has been decreased, and ITS deployment is growing nationwide. Automatic Vehicle Location (AVL) Systems, which is a part of ITS, have been adopted by many transit agencies. These allow them to track their transit vehicles in real-time. The need for the model or technique to predict transit travel time using AVL data is increasing. While some research on this topic has been conducted, it has been shown that more research on this topic is required. The objectives of this research were 1) to develop and apply a model to predict bus arrival time using AVL data, 2) to identify the prediction interval of bus arrival time and the probabilty of a bus being on time. In this research, the travel time prediction model explicitly included dwell times, schedule adherence by time period, and traffic congestion which were critical to predict accurate bus arrival times. The test bed was a bus route running in the downtown of Houston, Texas. A historical based model, regression models, and artificial neural network (ANN) models were developed to predict bus arrival time. It was found that the artificial neural network models performed considerably better than either historical data based models or multi linear regression models. It was hypothesized that the ANN was able to identify the complex non-linear" @default.
• W2564227947 created "2017-01-06" @default.
• W2564227947 creator A5059667586 @default.
• W2564227947 date "2004-01-01" @default.
• W2564227947 modified "2023-09-28" @default.
• W2564227947 title "The prediction of bus arrival time using automatic vehicle location systems data" @default.
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