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 107
- Downloads 0
Dynamic Organization of User Historical Queries
With the increasing number of published electronic materials, the World Wide Web (WWW) has become a vast resource for the individuals to acquire knowledge, solve problems, and complete tasks that use the Web i...
Ultra-Wide Bandpass filter using isosceles triangular microstrip patch resonator
In this paper, Ultra-Wide bandpass filter using isosceles triangular patch resonator (ITPR) is proposed. The reported design has wide bandwidth, low insertion loss, high return loss and flat group delay propert...
Hybrid Engine (Stirling Engine + IC Engine + Electric Motor)
Hybrid engine is a combination of Stirling engine, IC engine and Electric motor. All these 3 are connected together to a single shaft. The power source of the Stirling engine will be a Solar Panel. The aim of t...
A PSO Optimized Layered Approach for Parametric Clustering on Weather Dataset
Abstract: Clustering is the process to present the data in an effective and organized way. There are number of existing clustering approaches but most of them suffer with problem of data distribution. If the distri...
On Contra-#Rg–Continuous Functions
Abstract: In this paper we introduce and investigate some classes of generalized functions called contra-#rg- continuous functions. We get several characterizations and some of their properties. Also we investigate...