Towards Attention-Based Convolutional Long Short-Term Memory for Travel Time Prediction of Bus Journeys. [PDF]
Travel time prediction is critical for advanced traveler information systems (ATISs), which provides valuable information for enhancing the efficiency and effectiveness of the urban transportation systems.
Wu J, Wu Q, Shen J, Cai C.
europepmc +2 more sources
MCAGCN: Multi‐component attention graph convolutional neural network for road travel time prediction
With the development of intelligent transportation technology, road travel time prediction has become an important research direction. Owing to the complex periodic dependence and non‐linear features of road travel time series, achieving accurate and ...
Zhihua Zhao +4 more
doaj +2 more sources
Research on Travel Time Prediction Model of Freeway Based on Gradient Boosting Decision Tree
To improve the prediction accuracy of traffic flow, a travel time prediction model based on gradient boosting decision tree (GBDT) is proposed. In order to test the applicability of GBDT, models with different prediction horizons (5 min ahead, 10 min ...
Juan Cheng, Gen Li, Xianhua Chen
doaj +2 more sources
A comparative study and simple baseline for travel time prediction [PDF]
Accurate travel time prediction (TTP) is essential to freeway users, including drivers, administrators, and freight-related companies, for enabling them to plan trips effectively and mitigate traffic congestion.
Chuang-Chieh Lin +3 more
doaj +2 more sources
Travel time prediction of a given trajectory plays an indispensable role in intelligent transportation systems. Although many prior researches have struggled for accurate prediction results, most of them achieve inferior performance due to insufficient ...
Yibin Shen +3 more
semanticscholar +1 more source
Providing accurate bus travel time information is very important to help passengers plan their trips and reduce waiting times. Due to the uncertainty of the bus travel time, the traditional prediction value of the travel time point cannot accurately ...
Zhenzhong Yin, Bin Zhang
semanticscholar +1 more source
Research on Expressway Travel Time Prediction Based on Exclusive Disjunctive Soft Set [PDF]
In order to study the prediction problem of expressway travel time, due to the ambiguity and uncertainty in the road traffic system, the travel time prediction model is established based on the exclusive disjunctive soft set theory. Through the parameter
Wang Qingqing, Li Huamin, Xiong Weixin
doaj +1 more source
Privacy-Preserving Travel Time Prediction With Uncertainty Using GPS Trace Data [PDF]
The rapid growth of GPS technology and mobile devices has led to a massive accumulation of location data, bringing considerable benefits to individuals and society.
Fang Liu, Dong Wang, Zhengquan Xu
semanticscholar +1 more source
Bus Travel Time Prediction Based on the Similarity in Drivers’ Driving Styles
Providing accurate and real-time bus travel time information is crucial for both passengers and public transportation managers. However, in the traditional bus travel time prediction model, due to the lack of consideration of the influence of different ...
Zhenzhong Yin, Bin Zhang
doaj +1 more source
Evaluation of Applicability and Accuracy of Bus Travel Time Prediction in High and Low Frequency Bus Routes Using Tree-Based ML Techniques [PDF]
Prediction of bus travel time is a key component of an intelligent transportation system and has many benefits for both service users and providers. Although there is a rich literature on bus travel prediction, some limitations can still be observed ...
Seyed Mohammad Hossein Moosavi +3 more
doaj +1 more source

