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Short-term travel time prediction
Transportation Research Part C: Emerging Technologies, 2003Abstract Effective prediction of travel times is central to many advanced traveler information and transportation management systems. In this paper we propose a method to predict freeway travel times using a linear model in which the coefficients vary as smooth functions of the departure time.
Xiaoyan Zhang, John A. Rice
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New Model of Travel-Time Prediction Considering Weather Conditions: Case Study of Urban Expressway
, 2021In the prediction problem of urban expressway travel time, in addition to the influence of traffic flow characteristics on travel time, the influence of various traffic environmental factor...
Huamin Li, Qingqing Wang, Weixin Xiong
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Travel-time prediction with deep learning
2016 IEEE Region 10 Conference (TENCON), 2016Travel time prediction is a challenging problem in Intelligent Transportation Systems (ITS). Accurate travel time information helps motorists plan their routes more wisely. This, in turn, alleviates traffic congestion and improves operation efficiency.
Chaiyaphum Siripanpornchana +2 more
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CompactETA: A Fast Inference System for Travel Time Prediction
Knowledge Discovery and Data Mining, 2020Computing estimated time of arrival (ETA) is one of the most important services for online ride-hailing platforms like DiDi and Uber. With billions of service queries per day on such platforms, a fast inference ETA module ensures the efficiency of the ...
Kun Fu +3 more
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Travel Time Prediction between Bus Stations
ICCTP 2011, 2011The impact of signalized intersections on the bus running process is analyzed between bus stops, and the predicted travel time is divided into two parts: passing intersection time and link travel time. The bus stopping and queuing characteristics at signalized intersections with bus stops upstream are analyzed, and the passing intersection time model ...
Xiang-long Sun, Jian Lu
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Travel Time Estimation Using Speed Predictions
2015 IEEE 18th International Conference on Intelligent Transportation Systems, 2015Adanced traveler information systems (ATIS) use sensing, communication and data processing technologies to collect and disseminate real time road traffic information. Route guidance systems utilize this data to estimate and optimize travel times. Paths with the shortest travel times are then computed to suggest to the user, an optimal path to reach ...
Aditya Narayanan +4 more
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Travel-Time Prediction for Freeway Corridors
Transportation Research Record: Journal of the Transportation Research Board, 1999The application of a nonlinear time series model to the prediction of traffic parameters on a freeway network is investigated. The nonlinear time series approach is a statistical technique that has strong potential for on-line implementation. A new approach for predicting corridor travel times is developed and tested with travel-time data.
D'Angelo, Matthew P. +2 more
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Travel Time Functions Prediction for Time-Dependent Networks
Cognitive Computation, 2018The studies on the TDN (time-dependent network), in which the travel time of the same road segment varies depending on the time of the day, have attracted much attention of researchers, but there is little work focusing on the travel time functions prediction problem.
Jiajia Li +4 more
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Travel Time Reliability Prediction Using Random Forests
Transportation Research Record: Journal of the Transportation Research Board, 2023The concept of travel time reliability was developed to quantify the variability in travel times. As travel time reliability measures are increasingly used in system planning and performance measurement processes at many transportation agencies, predicting travel time reliability measures has become critical.
Mo Zhao +3 more
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Online Prediction of Travel Time: Experience From a Pilot Trial
Transportation Planning and Technology, 2007This study was designed to present an online model which predicted travel times on an interurban two-lane two-way highway section on the basis of field measurements. The study included two parts: an evaluation of the performance of the model, and an examination of the possibility to improve the model in case of unsatisfactory performance. The model was
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