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Short-Term Travel-Time Prediction using Support Vector Machine and Nearest Neighbor Method
Transportation Research Record, 2022 This paper presents an investigation into the performance of support vector machine (SVM) in short-term travel-time prediction in comparison with baseline methods, including the historical mean, current time based, and time varying coefficient predictors.
M. Meng, T. D. Toan, Y. Wong, S. Lam
semanticscholar +1 more source
Transportation Engineering, 2020 Having access to accurate travel time is of great importance for both highway network users and traffic engineers. The travel time which is currently reported on highways is usually estimated by employing naïve methods and using limited sources of data ...
Homa Taghipour +2 more
doaj +1 more source
Gong-kuang zidonghua, 2022 Due to the complexity of road in open-pit mine, the existing truck travel time prediction methods are difficult in the actual deployment. This leads to the truck optimal scheduling system only realizing scheduling instead of optimization.
TIAN Fengliang +8 more
doaj +1 more source
XGBoost-Based Travel Time Prediction between Bus Stations and Analysis of Influencing Factors
Wireless Communications and Mobile Computing, 2022 Real-time and accurate travel time information between bus stations is critical for passengers to make suitable travel plans to reduce waiting time at the stops.
Lingxiang Zhu, Sisi Shu, Liang Zou
semanticscholar +1 more source
A uncertainty visual analytics approach for bus travel time
Visual Informatics, 2022 Bus travel time is uncertain due to the dynamic change in the environment. Passenger analyzing bus travel time uncertainty has significant implications for understanding bus running errors and reducing travel risks. To quantify the uncertainty of the bus
Weixin Zhao +5 more
doaj +1 more source
A Freeway Travel Time Prediction Method Based on An XGBoost Model
Sustainability, 2021 Travel time prediction plays a significant role in the traffic data analysis field as it helps in route planning and reducing traffic congestion. In this study, an XGBoost model is employed to predict freeway travel time using probe vehicle data.
Zhen Chen, Wei Fan
semanticscholar +1 more source
Sustainability, 2022 Precise travel time prediction allows travelers and system controllers to be aware of the future conditions on roadways and helps in pre-trip planning and traffic control strategy formulation to lessen the travel time and mitigate traffic congestion ...
Gurmesh Sihag, M. Parida, Praveen Kumar
semanticscholar +1 more source
Dynamic toll prediction using historical data on toll roads: Case Study of the I-66 Inner Beltway
Transportation Engineering, 2021 Providing the users of a dynamic tolling system with predictions of tolling prices and the travel time difference between the toll road and the alternative routes enables them to make their travel decisions before starting their trip.
Sara Zahedian +2 more
doaj +1 more source
Bus Travel Time Prediction: A Comparative Study of Linear and Non-Linear Machine Learning Models
Journal of Physics: Conference Series, 2022 Congested roads are a global problem, and increased usage of private vehicles is one of the main reasons for congestion. Public transit modes of travel are a sustainable and eco-friendly alternative for private vehicle usage, but attracting commuters ...
B. Ashwini, R. Sumathi, H. Sudhira
semanticscholar +1 more source
Inland Waterway Travel Time Prediction
, 2022 This report focuses on the portion of the Upper Mississippi River between Mile Marker 338 and Mile Marker 462—a stretch encompassing Locks 16 through 20 in southeast Iowa and northeast Missouri. This part of the river system is an important artery for agricultural shipments.
Kruse, C. James +2 more
openaire +1 more source