Abstract-In recent years popularity of private cars is getting urban traffic more and more crowded. As result traffic is becoming one of important problems in big cities in all over the world. Some of the traffic concerns are congestions and accidents which have caused a huge waste of time, property damage and environmental pollution. This research paper presents a novel intelligent traffic administration system, based on Internet of Things, which is featured by low cost, high scalability, high compatibility, easy to upgrade, to replace traditional traffic management system and the proposed system can improve road traffic tremendously. The Internet of Things is based on the Internet, network wireless sensing and detection technologies to realize the intelligent recognition on the tagged traffic object, tracking, monitoring, managing and processed automatically. The paper proposes an architecture that integrates internet of things with agent technology into a single platform where the agent technology handles effective communication and interfaces among a large number of heterogeneous highly distributed, and decentralized devices within the IoT. The architecture introduces the use of an active radio-frequency identification (RFID), wireless sensor technologies, object ad-hoc networking, and Internet-based information systems in which tagged traffic objects can be automatically represented, tracked, and queried over a network. This research presents an overview of a framework distributed traffic simulation model within NetLogo, an agentbased environment, for IoT traffic monitoring system using mobile agent technology.

Accurate software cost estimation is a vital task that affects the firm's software investment decisions before committing required resources to that project or bidding for a contract. This study proposes an improved Case-Based Reasoning (CBR) approach integrated with multi-agent technology to retrieve similar projects from multi-organizational distributed datasets. The study explores the possibility of building a software cost estimation model by collecting software cost data from distributed predefined project cost databases. The model applying CBR method to find similar projects in historical data derived from measured software projects developed by different organizations

Abstract:In this study we propose multi-agent distributed electronic negotiation system, where the learning process is facilitated by using the CBR approach in combination with case database and addition of ability to roam through a network allows considering outside options using mobile agent technology. CBR is an AI methodology which combines re-use of the past experiences with case base. Cases similar to the current case at hand are retrieved from case base, revised and used to develop new offers and counter-offers.

ABSTRACT

The rapid spread of smart mobile technology is transforming the way how governments provide information and services to their citizens. We all are rely more on our devices, namely smartphones, laptops, or desktop to get information and a wide range of services from government websites. Such heavy usage of government websites results in an increased need for efficient and effective delivery of government services. Therefore, mobile government websites' usability and accessibility are essential dimensions that determine the quality and accessibility of mobile e-government. The main objective of this research is to analyze the accessibility and usability aspects of selected public sector websites in Saudi Arabia. This study investigates how well the Saudi mobile e-government websites comply with usability standards and accessibility guidelines recommended in the Web Content Accessibility Guidelines (WCAG). Websites assessments were conducted using manual evaluation and complemented by different automated analysis tools. This study applies a number of evaluation techniques to assess Saudi government websites accessed from desktop or mobile devices, such as an automated website testing technique, mobile-friendliness testing, and content observation technique. Various tools have been used for site evaluation, such as GTmetrix (PageSpeed Score, YSlow Score), WAVE, Google mobile-friendly test, and Dareboost for mobile websites. The study uncovers shortcomings regarding non-compliance to international web standards recommendations. The findings revealed usability and accessibility problems that affect the performance of government websites. In order to improve these websites within these aspects, several recommendations were suggested for improving the usability and accessibility of websites in Saudi Arabia that will make sure different groups of citizens are satisfied with the website features and services provided by them.INDEX TERMS accessibility, e-government, mobile website, usability, WCAG.

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The purpose of this paper is to formulate a functional architecture that supports the e-learning objectives: study individually and cooperatively, anytime and anywhere, guide specific individuals to their most relevant community or communities of knowledge. The proposed architecture is based on using mobile agent technology integrated with Case-Based Reasoning (CBR) approach. This architecture gives users the ability to collect, share, distribute and reuse e-learning knowledge from heterogenous knowledge bases. The mobile agent technology is particularly suitable for developing distributed e-learning systems because it supports intelligent and distributed storage, allows an optimal personalized e-learning environment, and enhances modularity, reusability, flexibility and reliability. The model is employing CBR method to find a case in case base that is similar to the current problem.

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