Advanced Traveler Information System for Hyderabad City

Kumar, Praveen; Singh, Varun; Reddy, Dhanunjaya

doi:10.1109/tits.2004.838179

Cited by 87 publications

(34 citation statements)

References 4 publications

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“…Kumar et al [14] presented GIS-based Advanced Traveler Information System (ATIS) for Hyderabad City in India that includes a site-tour module based on the shortest distance calculation. Chodhury et al [4] Compared to the related works, our approach is more of an automated approach, which requires a simplified query composed of two points and duration to recommend an automatically generated itinerary.…”

Section: Itinerary Recommendationmentioning

confidence: 99%

Social itinerary recommendation from user-generated digital trails

Yoon

Zheng

Xie

et al. 2011

Pers Ubiquit Comput

107

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Planning travel to unfamiliar regions is a difficult task for novice travelers. The burden can be eased if the resident of the area offers to help. In this paper, we propose a social itinerary recommendation by learning from multiple user-generated digital trails, such as GPS trajectories of residents and travel experts. In order to recommend satisfying itinerary to users, we present an itinerary model in terms of attributes extracted from usergenerated GPS trajectories. On top of this itinerary model, we present a social itinerary recommendation framework to find and rank itinerary candidates. We evaluated the efficiency of our recommendation method against baseline algorithms with a large set of user-generated GPS trajectories collected from Beijing, China. First, systematically generated user queries are used to compare the recommendation performance in the algorithmic level. Second, a user study involving current residents of Beijing is conducted to compare user perception and satisfaction on the recommended itinerary. Third, we compare mobile-only approach with Mobile?Cloud architecture for practical mobile recommender deployment. Lastly, we discuss personalization and adaptation factors in social itinerary recommendation throughout the paper.

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Section: Itinerary Recommendationmentioning

confidence: 99%

Social itinerary recommendation from user-generated digital trails

Yoon

Zheng

Xie

et al. 2011

Pers Ubiquit Comput

107

View full text Add to dashboard Cite

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“…There are a lot of completely implemented ATIS projects in the USA and around the world, and their works are being discussed in the literature [1][2][3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Developing architecture of a traveler information system for dynamic equilibrium in traffic networks

Noranian¹,

Tahsiri²

2017

J. Mod. Transport.

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Having criticized the current architecture of Advanced Traveler Information Systems (ATISs), this work discusses a new base of requirements to develop a new paradigm for traffic information systems. It mainly integrates three dimensions within a traffic system; drivers' pattern of behavior and preferences, urban traffic desires, and capabilities of traffic information service providers. Based on the above, functional segments from several related backgrounds are brought together to structure a new architecture, called Interactive Traveler Information System (ITIS). The main interactive feature of this new architecture is a two-way communication track between drivers and the traffic information system provider-in fact, a decision on choosing a road at a particular time for an individual will be made based on the utility of both sides. This new configuration consists of driver-side smartphone application, centric traffic prediction, and decision-maker units, which will shape a new approach of decision-making processes. These all work together to satisfy the designated goal of ITIS that it is preserving the Wardrop equilibrium condition in the traffic network level. Finally, we concentrate on a comparison study, which shows a differentiation between performance of the proposed ITIS and the current ATIS model in a real situation. This has been done with simulations of analogical scenarios. The most noticeable advantage of the proposed architecture is not being limited to a saturation limit, and the positive effect of increasing system penetration in the performance of the newly introduced information system. In conclusion, new research subjects are suggested to be carried out.

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“…It implements emerging computer, communication and information technologies to provide vital information to the users of a system regarding traffic regulation, route and location guidance, hazardous situations and safety advisory and warning messages. ATIS requires a large amount of data for processing, analysis, and storage for effective dissemination of traveler information [3].…”

Section: Introductionmentioning

confidence: 99%

Analysis of GPS Based Vehicle Trajectory Data for Road Traffic Congestion Learning

Lanka

Jena

2014

Advanced Computing, Networking and Informatics- Volume 2

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Abstract. Successful developments of effective real-time traffic management and information systems demand high quality real time traffic information. In the era of intelligent transportation convergence, traffic monitoring requires traffic sensory technologies. We tabulate various realistic traffic sensors which aim to address the technicalities of both point and mobile sensors and also increase the scope to prefer an optimal sensor for real time traffic data collection. The present analysis extracted data from Mobile Century experiment. The data obtained in the experiment was pre-processed successfully by applying data mining pre-processing techniques such as data transformation, normalization and integration. Finally as a result of the availability of pre-processed Global Position System (GPS) sensors trace data a road map has been generated.

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Advanced Traveler Information System for Hyderabad City

Cited by 87 publications

References 4 publications

Social itinerary recommendation from user-generated digital trails

Social itinerary recommendation from user-generated digital trails

Developing architecture of a traveler information system for dynamic equilibrium in traffic networks

Analysis of GPS Based Vehicle Trajectory Data for Road Traffic Congestion Learning

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