A Real-Time Bus Travel-Time Prediction Model Based on Kalman Filtering Theory

2002 ◽  
Author(s):  
Sheng Li
Keyword(s):  
Prediction Model ◽  
Travel Time ◽  
Real Time ◽  
Kalman Filtering ◽  
Travel Time Prediction ◽  
Filtering Theory ◽  
Time Prediction ◽  
Model Based ◽  
Bus Travel Time

scholarly journals Dynamic Bus Travel Time Prediction Models on Road with Multiple Bus Routes

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Cong Bai ◽  
Zhong-Ren Peng ◽  
Qing-Chang Lu ◽  
Jian Sun
Keyword(s):  
Travel Time ◽  
Dynamic Model ◽  
Kalman Filtering ◽  
Prediction Models ◽  
Support Vector ◽  
Travel Times ◽  
Travel Time Prediction ◽  
Real World Data ◽  
Time Prediction ◽  
Bus Travel Time

Accurate and real-time travel time information for buses can help passengers better plan their trips and minimize waiting times. A dynamic travel time prediction model for buses addressing the cases on road with multiple bus routes is proposed in this paper, based on support vector machines (SVMs) and Kalman filtering-based algorithm. In the proposed model, the well-trained SVM model predicts the baseline bus travel times from the historical bus trip data; the Kalman filtering-based dynamic algorithm can adjust bus travel times with the latest bus operation information and the estimated baseline travel times. The performance of the proposed dynamic model is validated with the real-world data on road with multiple bus routes in Shenzhen, China. The results show that the proposed dynamic model is feasible and applicable for bus travel time prediction and has the best prediction performance among all the five models proposed in the study in terms of prediction accuracy on road with multiple bus routes.

Real time bus travel time prediction using k-NN classifier

2017 ◽  
Vol 11 (7) ◽  
pp. 362-372 ◽  
Author(s):  
B. Anil Kumar ◽  
R. Jairam ◽  
Shriniwas S. Arkatkar ◽  
Lelitha Vanajakshi
Keyword(s):  
Travel Time ◽  
Real Time ◽  
Travel Time Prediction ◽  
Time Prediction ◽  
Bus Travel Time

scholarly journals Travel Time Prediction Model of Freeway Corridor Based on Real-Time Safety Reliability

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Huazhi Yuan ◽  
Zhaoguo Huang ◽  
Hongying Zhang
Keyword(s):  
Prediction Model ◽  
Travel Time ◽  
Real Time ◽  
Traffic Safety ◽  
Management Unit ◽  
Travel Time Prediction ◽  
Time Prediction ◽  
Relative Safety ◽  
Driving Risk ◽  
Freeway Corridor

By considering the feature of vehicle driving on the event management unit of the freeway corridor, according to the system target, a method to divide the management unit of the road network was put forward. The relative safety braking deceleration was taken as the evaluation index of single-vehicle driving risk. The reliability graph relationship and structure-function between the management unit and subunit were analyzed. Then, dynamic safety reliability and real-time safety reliability were determined on the basis of driving risk. In addition, the queuing and dissipating characteristics of the management unit under traffic incidents were analyzed based on the wave theory. The incident duration and dissipation time were also calculated. At the same time, the travel time prediction model of the incident management unit was set up when the real-time safety reliability was taken as a road resistance function. Finally, an improved travel time prediction model established in this paper is of great significance to improve traffic safety and efficiency, and the research results will provide an important theoretical foundation in the freeway corridor route decision.

Bus travel time prediction with real-time traffic information

2019 ◽  
Vol 105 ◽  
pp. 536-549 ◽  
Author(s):  
Jiaman Ma ◽  
Jeffrey Chan ◽  
Goce Ristanoski ◽  
Sutharshan Rajasegarar ◽  
Christopher Leckie
Keyword(s):  
Travel Time ◽  
Real Time ◽  
Traffic Information ◽  
Travel Time Prediction ◽  
Time Prediction ◽  
Real Time Traffic ◽  
Bus Travel Time
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