FNN based Adaptive Route Selection Support System
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2016, Vol 7, Issue 10
Abstract
This paper presents Fuzzy Neural Network (FNN) based Adaptive Route Selection Support System (ARSSS) for assisting drivers of vehicles. The aim of the proposed ARSSS system is to select path based on shortest possible time. The proposed system intakes traffic information, such as volume to capacity ratio, traffic flow, vehicle queue length and green cycle length, passenger car unit etc using different types of sensor nodes, remote servers, CCTVs and the road information such as path length, signalized junctions, intersection points between source-destination pair are captured using GPS service. A FNN has been employed to select an optimal path having shortest time. The input parameters of FNN are distance, signal point delay, road type and traffic flow whereas the output parameter is path selection probability which paves the way to identify the best suitable path. The simulation result revels that FNN based ARSSS outperforms more accurate than that of other route selection support system (webster delay model) and artificial neural network (ANN) in estimating path delay.
Authors and Affiliations
Saoreen Rahman, M. Kaiser, Mahtab Ahmmed
Keywords
Related Articles
- EP ID EP154510
- DOI 10.14569/IJACSA.2016.071048
- Views 89
- Downloads 0
Root-Cause and Defect Analysis based on a Fuzzy Data Mining Algorithm
Manufacturing organizations have to improve the quality of their products regularly to survive in today’s competitive production environment. This paper presents a method for identification of unknown patterns between th...
Conceptual Modeling in Simulation: A Representation that Assimilates Events
Simulation is often based on some type of model of the evolved portion of the world being studied. The underlying model is a static description; the simulation itself is executed by generating events or dynamic aspects i...
Mobile Forensic Images and Videos Signature Pattern Matching using M-Aho-Corasick
Mobile forensics is an exciting new field of research. An increasing number of Open source and commercial digital forensics tools are focusing on less time during digital forensic examination. There is a major issue affe...
Big Data Strategy
The importance of data analysis in companies grows every day, with a global market that generates large amounts of transactions. Industry 4.0 is one of the technological trends, which is a set of diverse technologies who...
Optimal Control and Design of Electrical Machines
This paper presents a global optimization approach aiming to improve the energy efficiency of electrical machines. The process is made on a hybrid stepper motor allowing to simultaneously optimize design and command. Thi...