Bus arrival time prediction based on network model
نویسندگان
چکیده
منابع مشابه
A Dynamic Bus-Arrival Time Prediction Model Based on APC Data
Automatic passenger counter (APC) systems have been implemented in various public transit systems to obtain bus occupancy along with other information such as location, travel time, etc. Such information has great potential as input data for a variety of applications including performance evaluation, operations management, and service planning. In this study, a dynamic model for predicting bus-...
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In major cities public buses serve as a main source for public transportation System. It has been found that much research work has been carried out in this field using GPS-GSM technology to detect the bus and GPS technology to extract the location of the bus. Taking these aspects into consideration we have proposed a Bus Tracing System with Arrival Time Prediction, by which the commuters can g...
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3 The provision of accurate bus arrival information is critical to encourage more people to use 4 public transport and alleviate traffic congestion. Developing a prediction scheme for bus travel 5 times can provide such information. Prediction schemes can be data driven or may use a 6 mathematical model that is usually less data intensive. This paper compares the performance of 7 two methods – ...
متن کاملAn Experimental Study on Real Time Bus Arrival Time Prediction with Gps Data
Bus headway in a rural area is usually much larger than that in an urban area. Providing real-time bus arrival information could make the public transit system more user-friendly and thus enhance its competitiveness among various transportation modes. As part of an operational test for rural traveler information systems currently ongoing in Blacksburg, Virginia, an experimental study has been c...
متن کاملAn Adaptive Long-Term Bus Arrival Time Prediction Model with Cyclic Variations
Real-time bus arrival information systems at transit stops can be useful to passengers for efficient trip planning and reducing waiting times. The accuracy of such systems depends upon the ability of the model to account for variations in the data series and to adjust according to changing traffic conditions. Many of the existing studies on passenger information systems have modeled the system ...
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ژورنال
عنوان ژورنال: Procedia Computer Science
سال: 2017
ISSN: 1877-0509
DOI: 10.1016/j.procs.2017.08.331