Mobile Plus Expressways Travel Assistant Assistant System (M-PEX)

Most frequent PLUS Expressways users found it was difficult for them to access point-of-need information (e.g. toll fare, RSA, Touch ‘n Go and etc.) while travelling on the expressways. Currently, the only way to do so was through the web based application.Thus, the purpose of this study is to develop a mobile application, Mobile PLUS Expressways Travel Assistant System (M-PEX) that will be able to assist PLUS Expressways users by providing on the spot information. M-PEX will focus on five main functions which are toll fare calculation, travel duration calculation,facilities,services provided by PLUS and PLUS user guide. M-PEX was developed using Rational Unified Process (RUP) methodology. A user acceptance testing and evaluation has been high reliability of M-PEX’s ability to assist user by providing on the spot information. They also show some interesting differences in user response between the users who owns transportation and users who does not owns transportation, due to differences in the frequency of using PLUS Expressways

The Design and Development of an Intelligent Agent for Thailand Tourism Industry

ได้รับทุนอุดหนุนการวิจัยจากมหาวิทยาลัยเทคโนโลยีสุรนารี ปีงบประมาณ พ.ศ.2553-255

USA Rail Planner: A user-focused web-scraping solution for rail travel planning in the United States

Planning a cross-country train journey in the United States can be a time-consuming process. The USA Rail Planner, presented in this thesis, provides travelers an easy way to plan a multi-city rail trip to any of the destinations served by Amtrak trains in the United States. The manual work of searching the Amtrak website and inputting information into a spreadsheet is no longer necessary. By interfacing with the website, information can be parsed by the application quickly and presented to the user in a simpler, ordered, and less cluttered format, allowing them to make educated decisions in their trip planning process. Dynamic route maps, detailed train information, and many other planning features are present in the application. Quality-of-life additions, such as train timetables, city tourism pages, and local transit connections, make the application well-rounded in the tourism and travel domains. Furthermore, this user-centered Python-based application that employs web scraping and other modern software technologies provides an efficient and easy way to create an itinerary which can be exported later. User study results (N=12) show that the USA Rail Planner is significantly better than existing methods, reducing the time to create an itinerary by 47% and it was the preferred method for all but one participant

Advances on Smart Cities and Smart Buildings

Modern cities are facing the challenge of combining competitiveness at the global city scale and sustainable urban development to become smart cities. A smart city is a high-tech, intensive and advanced city that connects people, information, and city elements using new technologies in order to create a sustainable, greener city; competitive and innovative commerce; and an increased quality of life. This Special Issue collects the recent advancements in smart cities and covers different topics and aspects