• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.2D
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• pp.259-263
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• 2006

As the concept of Ubiquitous Computing has become an important issue, we need to have a voice in the field of Transportation. Ubiquitous Computing means that IT network based on realization of 5 Any(Anytime, Anywhere, Anything, Anynetwork, Anydevice) is deeply penetrated into our daily life. As ITS has developed with the aid of IT and Transportation Technology together, we need to discuss u-Transportation concept with Ubiquitous Computing and Transportation Technology. According to the recent papers and studies, Transportation or Transportation Information sector is mentioned as a major application of Ubiquitous Computing. However, most of the studies are limited to the basic concept without any in-depth understanding about Transportation. This paper present the implementation of u-Transportation and the role of Transportation Technology based on recent technology trend.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.13 no.2
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• pp.225-231
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• 2013

A bird's-eye view is an elevated view of an object from above, with a perspective as though the observer were a bird, often used in the making of blueprints, floor plans and maps. It can be used under severe weather conditions when visibility is poor. Under low visibility environments, drivers can communicate each other using V2V communication to get each vehicle's status to prevent collision and other accidents. Ubiquitous transportation sensor networks(u-TSN) and its application are emerging rapidly as an exciting new paradigm to provide reliable and comfortable transportatione services. The ever-growing u-TSN and its application will provide an intelligent and ubiquitous communication and network technology for traffic safety area.

• Journal of Korean Society of Transportation
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• v.26 no.3
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• pp.179-186
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• 2008

It is crucial in traffic flow management to maintain productivity and the traffic stability at the same time especially under congested traffic conditions. This issue has not been explicitly addressed under the intelligent transportation system environments. However, the ubiquitous transportation system environments make it possible to collect the data for each vehicle's position and velocity and to perform more sophisticated traffic flow management at individual vehicle or platoon level through V2V and V2I communications. In this paper, a preventive traffic flow management scheme is proposed, in which the objective is to maintain traffic flow stability while the productivity of the system is not decreased. The management scheme is proposed based on Greenshield's model because it is simple and easy to handle. It is considered that further research should be performed to evaluate the various traffic flow models.

• Transportation Technology and Policy
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• v.8 no.3
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• pp.51-60
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• 2011

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.47 no.6
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• pp.35-41
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• 2010

The ubiquitous-transportation sensor network (u-TSN) system is a next generation transportation system that provides traffic information through analysis and processing periodic information from vehicles. In this paper, we propose the adequate transmission scheme from vehicles for collecting vehicular information. The conventional scheme is transmitting each vehicle information every 0.1s. A variable transmission period scheme is proposed in this paper according to vehicle speed. The proposed and conventional schemes are compared with computer simulations.

• Journal of Korean Society of Transportation
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• v.28 no.4
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• pp.167-175
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• 2010

The ubiquitous transportation system environments make it possible to collect each vehicle's position and velocity data and to perform more sophisticated traffic flow management at the individual vehicle or platoon level through vehicle to vehicle (V2V) and vehicle to infrastructure (V2I) communication. It is necessary to develop a traffic flow management scheme to take advantage of the ubiquitous transportation system environments. This paper proposes an algorithm to advise the optimal speed for each vehicle according to the traffic flow condition. The algorithm aims to stabilize the traffic flow by advising the equilibrium speed to the vehicles speeding or crawling under freely flowing condition. And it aims to prevent or at least alleviate the shockwave propagation by advising the optimal speed that should dampen the speed drop under critical flow conditions. This paper builds a simulation testbed and performs some simulation experiments for the proposed algorithm. The proposed algorithm shows the expected results in terms of travel time reduction and congestion alleviation.

• Transportation Technology and Policy
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• v.9 no.1
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• pp.35-48
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• 2012

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.10 no.5
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• pp.36-46
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• 2011

It is thought traffic flow management under the ubiquitous transportation system has great potential in view of individual vehicle data availability and V2V, V2I two-way communication environments. However, it is expected that deployment of the ubiquitous transportation system takes some time. Therefore it is necessary to evaluate the feasibility of the algorithm under the ITS environment. The speed management algorithm proposed in the previous research is revised to fit for the ITS data collection and information provision environment. And the feasibility of the algorithm is evaluated through simulation experiments.

• Journal of Intelligence and Information Systems
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• v.16 no.1
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• pp.57-69
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• 2010

The ubiquitous transportation system environments make it possible to collect each vehicle's position and velocity data and to perform more sophisticated traffic flow management at individual vehicle or platoon level through V2V and V2I communication. It is necessary to develop a new data processing methodology to take advantage of the ubiquitous transportation system environments. This paper proposed to build 3-dimension data profiles to maintain the detailed traffic flow information contained in the individual vehicles' data and at the same time to keep the profiles from the meaningless fluctuations. Also methods to build the platoon profile and the shock wave speed profile are proposed, which have not been possible under ITS(Intelligent Transportation System) environments.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.29 no.4D
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• pp.459-465
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• 2009

u-T (ubiquitous transportation) environment can be envisioned as an advanced version of ITS environment and be expected to provide more advanced transportation service in a ubiquitous manner. As a basic necessity to measure traffic flow in both environments, a flow estimation method was proposed. Flows have been measured in existing ITS and in a new u-T environments and some differences were investigated using simulation technique. In the interrupted traffic situation, the flow rate of u-T is 3.58% higher than that in ITS environment. Both MARE and MAE, which were used as measure of effectiveness, in u-T were better since the results are 31.4% and 31.1% lower than in ITS, respectively. Besides the equality coefficient in u-T was 1.9% higher than that in ITS. Such being the case, the flow rate measured in u-T using U-TSN is more reliable and can be expected to be successfully used for transportation system design or traffic operation areas.