A Telematics Service System Based on the Linux Cluster

Lee, Junghoon; Park, Gyung-Leen; Kim, Hanil; Yang, Young-Kyu; Kim, Pankoo; Kim, Sang–Wook

doi:10.1007/978-3-540-72590-9_96

Cited by 49 publications

(16 citation statements)

References 8 publications

(7 reference statements)

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“…Most of other work is based on the virtual trajectory data generated by a specific distribution. As contrast, this paper employs the real-life data collected from a real-time tracking system currently in operation [7]. Called Jeju Taxi telematics system, the system began its service to provide an efficient taxi dispatch [8].…”

Section: Background and Related Workmentioning

confidence: 99%

“…This can make two or more requests having much common information processed sequentially so that the subsequent retrievals for the common information can be obviated, improving response time. The road network of Jeju city, the target area is represented by a graph consisting of about 17,000 nodes, or intersections and about 25,000 links, or the road that connects two nodes [7]. For the subsequent performance measurement, after analyzing the history data, we select the virtual gateway location having heavy traffic and then extract those travels which have started within 300 m from this spot, considering the most common wireless transmission range.…”

Section: B Cache Schedulingmentioning

confidence: 99%

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Access pattern analysis for a directional cache scheduling scheme on vehicular telematics networks

Lee

2009

2009 6th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technolog

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This paper analyzes the data access pattern to the gateway cache for the better design of direction-based query scheduling scheme, based on the real-life trajectory data. After defining an advanced route information service in which each vehicle requests the data items associated with all links along the route in the vehicular telematics network, experiments are conducted to investigate the queue length distribution, hop count distribution of target links, and hourly pattern change in the direction of trip destinations. The observation on such factors discovers the effect of the number and length of trips to the queue length and response time, highlights the links of hops from 25 to 100 the query scheduling policy must concentrate on, and finally, obtains the spark shape in the destination pattern curve. This result makes it possible to revise the direction-based scheduling policy to maximize the cache hit ratio as well as overcome the bandwidth limitation between the gateway and information servers.

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Section: Background and Related Workmentioning

confidence: 99%

Section: B Cache Schedulingmentioning

confidence: 99%

Access pattern analysis for a directional cache scheduling scheme on vehicular telematics networks

Lee

2009

2009 6th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technolog

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“…Nominated as the Telematics Model City, Jeju Island is launching lots of industrial and academic projects [5]. Telematics devices are now popularized for both rent-a-cars and taxis in this area.…”

Section: Background and Related Workmentioning

confidence: 99%

A Roadside Unit Placement Scheme for Vehicular Telematics Networks

Lee¹,

Kim

2010

Lecture Notes in Computer Science

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Abstract. This paper designs and measures the performance of a roadside unit placement scheme for the vehicular telematics network, aiming at improving connectivity and reducing the disconnection interval for the given number of roadside units, the transmission range, and the overlap ratio on the road network of Jeju city. The placement scheme begins with an initial selection that every intersection is the candidate. For each circle surrounding the candidate position with the radius equal to the transmission range, the number of vehicle reports inside the circle is counted. After ordering the candidates by the count, the placement scheme makes the candidate survive when it is apart from all the other candidates already selected by at least the distance criteria. Performance measurement result obtained using the real-life movement history data in Jeju city shows that about 72.5 % of connectivity can be achieved when the number of roadside units is 1,000 and the transmission range is 300 m, while the disconnection time is mostly kept below 10 seconds.

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“…'Central Call Server' holds the location history data and a spatial data processing engine [2], which is capable of efficiently analyzing a large amount of location history data. In central call server there are mainly three units, which work together for providing the necessary inputs for the spatio-temporal analysis.…”

Section: Architecturementioning

confidence: 99%

An Algorithm Based Design and Query Processing of Spatial Data Management in Vehicular Telematics System

Pathak

Tripathy

Patra

2009

2009 International Joint Conference on Computational Sciences and Optimization

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In this paper we propose an algorithm for taxi telematics system. The paper shows how the central call server, call customer, and an empty taxi coordinate with one another. With this algorithm, the central call server works efficiently in response to the customer call as well as for an empty taxi. Location history data is required for the central call server to provide a map display of 'needy' customer spots to an empty taxi. Location tracker tracks the location of the taxi and stores it in a memory structure which provides a history of the locations traveled by the taxi in order to use it in future to generate reports which help in post accident analysis. Other mechanisms such as state tracer and pickup pattern provide further analysis information about the location and the speed of the taxi.

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A Telematics Service System Based on the Linux Cluster

Cited by 49 publications

References 8 publications

Access pattern analysis for a directional cache scheduling scheme on vehicular telematics networks

Access pattern analysis for a directional cache scheduling scheme on vehicular telematics networks

A Roadside Unit Placement Scheme for Vehicular Telematics Networks

An Algorithm Based Design and Query Processing of Spatial Data Management in Vehicular Telematics System

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