The Intelligent Travel Assistant (original) (raw)
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Personal Advanced Traveler Assistant
Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics, 2011
In spite of numerous road management schemes and developed infrastructure the society nowadays still faces the problem of highly congested roads due to the increasing traffic demand. The focus of this paper is to develop a complex and integrated system that addresses the challenges of dynamic traffic assignment in modern times. We built a design for a Personal Advanced Traveller Assistant (PTA). The main purpose of PTA is to give routing advices depending on the users preferences and the available capacity in the network. The system incorporates a dynamic traffic algorithm that employs a prediction model of future travelling time. The prediction model that the algorithm uses is based on historical data. To conclude, we successfully implemented a working prototype that uses various technologies such as Java, the Open Street Map API for rendering the map or J2ME for the mobile phone client.
Personal Intelligent Travel Assistant: A distributed approach
Proceedings of International Conference on Artificial Intelligence, 2005
Abstract—At Delft University of Technology there is a project running on the development of a traffic information-system. The paper presents a using of XML for multimodal communication with an intelligent travel assistant. The personal Intelligent Travel Assistant (PITA) provides the user with a personalized, up-to-date advice on a handheld device, which takes into account actual delays and user preferences. The travelers themselves provide information about delays of trains, using GPS to estimate whether a user is experiencing a ...
An advanced traveler information system with emerging network technologies
2003
Advanced Traveler Information Systems (ATIS) plays an important role in intelligent transportation systems; it assists travelers with pre-trip and en route travel information to improve the convenience, safety and efficiency of travel. In this paper we present a highway ATIS system which provides more decisive and valuable travel information than conventional ATIS systems by integrating it with newly emerging Web service and wireless communication technologies. Following the Web service standards, our system can aggregate multiple travel-related data from different sources and provide value-added services to application developers or users. Through multimedia messaging services or wireless LAN communication, we can support access of the system to mobile travelers with visualized real-time traffic information for pre-trip planning or en route referencing. In order to make our system more reliable and useful, the methods of lost data reconstruction and travel time prediction are also proposed and examined.
Unusual and unexpected conditions on the roads affect the trouble-free operation of the bus system and the movement in delay of vehicles. Also, daily problems such as traffic congestion, unexpected delays, randomness in passenger demand, irregular vehicle dispatching times take place and as a result of which the schedule of the passengers is affected and they inevitably have to wait for the arrival of their respective bus. This passenger inconvenience can be avoided by introducing a application for a smartphone which provides real-time bus location information and estimated time of arrival of the buses. This project focuses on the implementation of a Real-Time vehicle Tracking System (RTBTS), by installing GPS (Global Positioning System)-module devices on college buses or using Drivers Smartphone which will transmit the current location on the GPS Receiver. Now the Global Positioning System Receiver will be interacting with a cloud server and an interface driver will auto save data in a dot text file of latitude and longitude information which will continue to do so until the GPS module is connected to a bus and internet. From here the application server will retrieve data and store it in web server or cloud platform from where the system will display real-time information of the bus. The real-time bus tracking system is a standalone application designed to display the real-time locations of the buses to the users.
Improving Travel Information Systems with the Assistance of GPS
International Journal of Information and Electronics Engineering, 2015
Travel delays and the ever increasing traffic queues negatively affect the everyday lives of commuters. Users of public transit systems, such as the TTC, are left unaware of the length of the delay they might experience on their journey. One of the most important factors in an Intelligent Transportation System (ITS) is the ability to predict the bus's arrival time accurately which not only increases the current customers' satisfaction, but also attracts new customers for the system. The objectives of this paper are (1) to predict the bus travel times using GPS data, and (2) to develop a parametric optimization model to improve bus arrival times based on the speed distribution. The bus travel time optimization model proposed in this research explicitly includes arrival time, dwell times, schedule adherence, and traffic congestion, all critical factors for accurate bus arrival times. In this paper, a test bus route was used in downtown Toronto, Canada. The optimization model performed significantly better than the historical data-based models. The proposed model identified the relationship between travel times and the independent variables, leading to superior results.
2019
In order to provide reasonable as well as user-oriented result for this question, this model automatically observes famous and nearby places when someone visits some location and it will suggest useful information according to its current location, preferences, and past visits. Afterwards, the traveller guide allows for the user to provide feedback about each visit. The proposed solution is making use of machine learning techniques and recommendation systems to simplify the travel planning process for the end user. Various methods could be utilized to find patterns in given user’s past behaviour or to find similarities and correlations between known points of interest. These smart systems could be used to give personal experience and suggestions for user. These suggestions could be dependent on their schedule, preferences and budget. Machine learning would also automate the travel, its planning process and make the finding of the new impressive places easier for wider crowd of people.
In artificial intelligence, an expert system is the computer system that emulates the decision making ability of a human expert. Expert systems are designed to solve the complex problems by reasoning about the knowledge represented primarily as If-then rules rather than through conventional procedural code Intelligent Travelling System is the system that will run on most of the phones and palms which enable the user to visit the places at user criteria . In the current situations, systems have the information about the places they want to visit and they don’t have usable or valuable information about points of interest except the phone numbers and addresses. In order to overcome this problem the Intelligent Travelling System has been proposed. The users who want to travel around can answer the set of questions and the system will provide tourist spot, path to the spot, some picture of the spot and rough estimated cost based on the answers given by the user. The primary advantage of this system is to fulfill user criteria by approximate estimation of cost and time.
STIS: Smart Travel Planning Across Multiple Modes of Transportation
2007 IEEE Intelligent Transportation Systems Conference, 2007
Travellers require information on individual transport systems when planning a journey. Many transportrich urban environments contain numerous underlying transport infrastructures, offering a traveller various ways to complete the journey. This paper presents the Smart Traveller Information Service, a system designed to offer travellers an easy to use and efficient means of planning journeys in an otherwise complex multi-modal transport environment. The Smart Traveller Information Service bridges the coordination gap between the available transport systems (both public and private), and hides the complexity of the travel planning process from the user. This allows travellers to construct detailed journey plans without concerning themselves with the often heterogeneous and disjoint nature of the available transport facilities.
Information systems for public transport users
2012
Until now, the existing Geographical Information Systems were mainly developed concerning the needs of vehicle users. However in recent years with the proliferation and evolution of mobile devices, navigation systems started to be directed towards the needs of the pedestrian users but their full potential is still far from being exploited. Pedestrians have a higher degree of freedom so the information contained in these systems is different from that destined for vehicles. There is also the information about public transport networks which is how the pedestrian usually travels great distances.