Online Bus Arrival Time Prediction Using Hybrid Neural Network and Kalman filter Techniques
Journal Title: International Journal of Modern Engineering Research (IJMER) - Year 2013, Vol 3, Issue 4
Abstract
The ability to obtain accurate predictions of bus arrival time on a real time basis is vital to both bus operations control and passenger information systems. Several studies have been devoted to this arrival time prediction problem in many countries; however, few resulted in completely satisfactory algorithms. This paper presents an effective method that can be used to predict the expected bus arrival time at individual bus stops along a service route. This method is a hybrid scheme that combines a neural network (NN) that infers decision rules from historical data with Kalman filter (KF) that fuses prediction calculations with current GPS measurements. The proposed algorithm relies on real-time location data and takes into account historical travel times as well as temporal and spatial variations of traffic conditions. A case study on a real bus route is conducted to evaluate the performance of the proposed algorithm in terms of prediction accuracy. The results indicate that the system is capable of achieving satisfactory performance and accuracy in predicting bus arrival times for Egyptian environments.
Authors and Affiliations
M. Zaki1
Keywords
Related Articles
- EP ID EP98807
- DOI -
- Views 90
- Downloads 0
Remote Access and Dual Authentication for Cloud Storage
Cloud computing is an emerging technology, which provides services over internet such as software, hardware, network and storage. The key role for cloud computing is virtualization which reduces the total cost and gives...
Adiabatic Logic Based Low Power Carry Select Adder for future Technologies
Adders are of fundamental importance in a wide variety of digital systems. Many fast adders exist, but adding fast using low area and power is still challenging. This paper presents a new bit block structure that c...
Swarm Intelligence: An Application of Ant Colony Optimization
Swarm intelligence, a branch of artificial intelligence is a part which discusses the collective behaviour of social animals such as ants, fishes, termites, birds, bacteria. The collective behaviour of animals...
Comparative Study for MCDS and DSR Which Are Used For Packet Forwarding In Ad Hoc Network
Abstract: this paper provides a brief overview of the operation of the DSR protocol; providing only enough detail that the reader can understand the analysis of DSR And comparative study of MCDS and DSR which is us...
Determinants in the Use of Mobile Communication Technology for Content and Pedagogical Skills Development of Technical Teachers in Anambra State of Nigeria
Abstract: Most mobile phones possess features and applications that perform many digital functions. Unfortunately,Nigerian teachers who possess these phones do not know and utilize these capabilities. Hence there i...