Simulation Results for a Daily Activity Chain Optimization Method based on Ant Colony Algorithm with Time Windows
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2019, Vol 10, Issue 1
Abstract
In this paper, a new approach is presented based on ant colony algorithm with time windows in order to optimize daily activity chains with flexible mobility solutions. This flexibility is realized by temporal and spatial change of activities achieved by travellers during one day. With the injection of flexibility concept of time and locations, the requirements for such a transport system are high. However, our method has shown promising results by decreasing 10 to 20% the total travel time of travellers based on combining and comparing different transport modes including the private transport as well as the public transport and by choosing the optimal set of activities using our method.
Authors and Affiliations
Imad SABBANI, Bouattane Omar, Domokos Eszetergar-Kiss
Keywords
Related Articles
- EP ID EP448895
- DOI 10.14569/IJACSA.2019.0100156
- Views 77
- Downloads 0
MULTITHREADING IMAGE PROCESSING IN SINGLE-CORE AND MULTI-CORE CPU USING JAVA
Multithreading has been shown to be a powerful approach for boosting a system performance. One of the good examples of applications that benefits from multithreading is image processing. Image processing requires many re...
TokenSign: Using Revocable Fingerprint Biotokens and Secret Sharing Scheme as Electronic Signature
Electronic signature is a quick and convenient tool, used for legal documents and payments since business practices revolutionized from traditional paper-based to computer-based systems. The growing use of electronic sig...
Graph-based Semi-Supervised Regression and Its Extensions
In this paper we present a graph-based semi-supervised method for solving regression problem. In our method, we first build an adjacent graph on all labeled and unlabeled data, and then incorporate the graph prior with t...
A Study of MCA Learning Algorithm for Incident Signals Estimation
Many signal subspace-based approaches have already been proposed for determining the fixed Direction of Arrival (DOA) of plane waves impinging on an array of sensors. Two procedures for DOA estimation based neural networ...
Development of Prediction Model for Endocrine Disorders in the Korean Elderly Using CART Algorithm
The aim of the present cross-sectional study was to analyze the factors that affect endocrine disorders in the Korean elderly. The data were taken from the A Study of the Seoul Welfare Panel Study 2010. The subjects were...