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Multimodal Traffic Travel Time Prediction
2021 International Joint Conference on Neural Networks (IJCNN), 2021With the continuous growth of urban population, it is urgent for people to accurately plan the travel time. Therefore, travel time prediction of urban areas has become a key research direction in the field of smart cities. At present, several studies on travel time prediction are only conducted on a single mode, where the prediction process only treats
Shizhen Fan +3 more
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Hybrid time series forecasting methods for travel time prediction
Physica A: Statistical Mechanics and its Applications, 2021Abstract Providing accurate information about travel time to passengers is important in public transportation. In this aspect, the travel time of buses between two consecutive stops can be handled as time series. Then, the future travel time can be predicted using time series forecasting methods.
Serin, Faruk, Alisan, Yigit, Kece, Adnan
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Bus travel time prediction with real-time traffic information
Transportation Research Part C: Emerging Technologies, 2019Abstract An important aspect of Intelligent Public Transportation Systems (IPTS) is providing accurate travel time information. Knowing arrival times of public vehicles in advance can reduce waiting times of passengers and attract more people to take public transport.
Ma, Jiaman +4 more
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Uncertainty-Aware Probabilistic Travel Time Prediction for On-Demand Ride-Hailing at DiDi
Knowledge Discovery and Data Mining, 2023Travel Time Estimation (TTE) aims to accurately forecast the expected trip duration from an origin to a destination. As one of the world's largest ride-hailing platforms, DiDi answers billions of TTE queries per day.
Hao Liu +3 more
semanticscholar +1 more source
IEEE transactions on intelligent transportation systems (Print), 2022
Drivers and traffic system planners require accurate forecasting of future travel times. To alleviate traffic congestion on Taiwan’s Provincial Highway No.
Mu-Yen Chen +2 more
semanticscholar +1 more source
Drivers and traffic system planners require accurate forecasting of future travel times. To alleviate traffic congestion on Taiwan’s Provincial Highway No.
Mu-Yen Chen +2 more
semanticscholar +1 more source
Bus Travel Time Prediction Based on Ensemble Learning Methods
IEEE Intelligent Transportation Systems Magazine, 2022Buses have become indispensable in urban transportation systems, especially in developing countries. The prediction of bus travel time can provide essential information for passengers to coordinate their trip plans.
Gang Zhong +5 more
semanticscholar +1 more source
MTTPRE: a multi-scale spatial-temporal model for travel time prediction
SIGSPATIAL/GIS, 2022Travel time prediction is a critical task in intelligent transportation system and location-based service. Existing studies build models based on the features extracted from trajectories, but few of them consider the sparsity of trajectory data from both
Feng Wan +6 more
semanticscholar +1 more source
Transportation Research Record: Journal of the Transportation Research Board, 2008
As reported in the literature for the applications of intelligent transportation systems with traffic detectors, various missing data patterns are frequently observed in such systems and may dramatically degrade their performance. This study presents two imputation approaches for contending with the missing data issues in travel time prediction.
Jianwei Wang, Nan Zou, Gang-Len Chang
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As reported in the literature for the applications of intelligent transportation systems with traffic detectors, various missing data patterns are frequently observed in such systems and may dramatically degrade their performance. This study presents two imputation approaches for contending with the missing data issues in travel time prediction.
Jianwei Wang, Nan Zou, Gang-Len Chang
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Real-Time Freeway Travel-Time Prediction
Engineering & Technology Reference, 2015This article develops a framework that includes three major categories of methodologies for real-time freeway travel-time prediction. The proposed methodologies include traffic modelling, pattern recognition and recursive probabilistic algorithms. Each developed method attempts to predict travel times for different prediction horizons.
Hao Chen, Hesham Rakha
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Travel Time Prediction on Highways
2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing, 2015We describe the development of a predictive model for vehicle journey time on highways. Accurate travel time prediction is an important problem since it enables planning of cost effective vehicle routes and departure times, with the aim of saving time and fuel while reducing pollution.
Rupnik, Jan +4 more
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