• Journal of Korean Society of Transportation
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• v.27 no.4
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• pp.145-154
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• 2009

The main goal of this paper is to develop a methodology for increasing the reliability of truck OD matrices in Seoul Metropolitan Area. We propose a Hybrid Method made up of five processes by using Non-Traffic Assignment and Gradient Method. A Hybrid Method and Gradient Method have applied for comparison and estimation in Seoul Metropolitan Area. Mean Error and Root Mean Square Error of a Hybrid Method present lower than Gradient Method. The findings of this paper show that the new truck OD matrices created by a Hybrid Method are more reliable than the existing truck OD matrices in the Seoul Metropolitan Area.

• Proceedings of the KOR-KST Conference
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• 1998.10a
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• pp.488-495
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• 1998

대도시지역은 인구와 경제활동의 밀집도가 매우 높은 지역이나 계속되는 교통혼잡의 가중에의한 신속한 물자이동의 제약과 화물작업을 위한 공간의 부족 등으로 인하여 원활한 수송활동과 물류활동을 제한하는 장애요인들이 화물의 이동에 비하여 많은 실정이다. 도시가 존속하고 생산활동, 소비활동을 하기 위해서는 원자재, 에너지, 제품 등이 도시내·외를 통해 생산부문간과 개인·집단간에 원활한 수송이 이루어져야 한다. 하지만, 서울과 같은 대도시는 우리 나라 전체 경제에 미치는 영향이 매우 큼에도 불구하고 급속하게 증가하는 승용차 위주로 교통소통, 교통체계개선(TSM), 도로망 구축 등의 정책이 시행되어 왔다. 대규모 물류이동이 필수적인 서울의 남대문시장, 동대문시장, 용산전자상가 등 오래전부터 형성되어 온 도심상가지역은 굳이 언급하지 않더라도 서울 근교 신도시에 점차 확산되고 있는 대형 할인매장 등의 유통업무지구, 대형 사무용 건물 등에 원활하고 적시의 수송지원을 위해서는 체계적이고 합리적인 물류체계와 화물시스템 못지 않게 그에 따른 도로의 기하하적 구조나 화물차량을 고려한 신호체계 등이 필요하다. 따라서, 본 연구에서는 일반적인 도시 TSM기법 중에서도 화물차량 위주의 TSM기법에 중점을 두고 대도시에 적용 가능한 도로상의 화물차량 소통기법을 연구하여 그 적용성과 기대효과를 살펴보는데 그 목적이 있다. 본 연구는 크게 도시외곽을 경유하는 화물차량에 관한 도시외곽 화물 TSM 기법과 도시내 통과차량 소통기법, 주·정차 및 조업차량관리기법의도시내 화물TSM 기법으로 구성되어 있다. 도시외곽 화물 TSM 기법의 주내용은 신호체계 개선과 도로의 기하구조 개선 등이며, 도시내 화물 TSM 기법은 화물차량의 도시내 교통소통 기법과 화물차량의 주·정차 관리 및 조업차량 관리에 대한 연구를 수행한다. 대부분의 TSM 개선방안의 시행주체가 경찰청과 시이므로 본 연구의 결과는 도시의 원활한 화물교통소통을 위하여 적용가능할 것으로 예상된다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.17 no.6
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• pp.153-172
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• 2018

Overloading of Commercial vehicles have been an important area of transportation as one of the main causes of pavement damage, bridge collapse, severe traffic accident, etc. In this study, we analyzed the effects of overweight prevention by analyzing overweight driving patterns and using weight sensors. First, we analyzed relevant literatures of overweight and surveyed the commercial weight sensors. Then we chose the typical type of overweight vehicles based of overweight enforcement data analysis. MEMs inclinometer weight sensor were installed to 10 test vehicles and data was collected by weight sensors and gps in real time. As a result of gross vehicle weight and axle weight analysis, it was found weight sensor could decrease overweight rate. However, since the number of samples of test vehicles is insufficient to represent the whole commercial vehicle, further studies are deemed possible through the extension test.

• Journal of Korean Society of Transportation
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• v.24 no.1 s.87
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• pp.7-18
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• 2006

Nowadays, the movement of commercial vehicles has caused severe congestion, environmental problems and damaged pavements in urban area. To solve the Problems, this research has proposed a methodology to build-up a freight network that is enable to manage the movement and demand of commercial vehicles. The network based on urban arterial network has developed according to freight traffic volume that is under the influence of road types among The in study area. Freight network has been developed by assignment method of 4-step transportation forecasting. Once, acceptable limits of freight traffic volume are decided, freight network can be developed using the capacity To confirm the application of the methodology, freight network of Seoul city has developed by the methodology.

• Journal of Korea Port Economic Association
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• v.25 no.3
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• pp.117-138
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• 2009

Heavy truck traffic causes serious damage to not only environment condition due to the emissions but also pavement condition. In Incheon city area, the highways of the port hinterland suffer from similar problems. Therefore, it is required to develop a policy to solve those problems, which should be under the collective agreement of the truck drivers, local residents, and policy makers. This paper compared the truck traffic volumes and re-pavement construction history for last 4 years and showed the real effect of the heavy truck traffic on the pavement. Furthermore, this study examined the pros and cons of the exclusive truck lane and truck only highway policies and conducted a survey of truck drivers, local residents, and policy makers. Each group showed different preferences for the policies particularly for the question asking the best implementable policy.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 1999.10a
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• pp.199-206
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• 1999

본 연구에서는 웹기반의 화물차량위치추적시스템의 개발과 관련된 문제를 다루고 있다. 화물위치추적 시스템이란 이동하는 화물차량으로부터 위치데이터 및 관련 정보를 수신하여 중앙관제센터에서 이 정보를 데이터베이스에 저장하여 두고 화물위치 정보를 지도 위에 표시하는 시스템으로 화주, 운송회사 등 육상물류관련 기관에서 화물위치추적, 공동수배송, 화물차량 통제 등 다양한 목적으로 사용될 수 있다. 화물차량위치추적시스템은 AVLS(Automatic Vehicle Location System)라 불리우면서 산업계에서 활용되고 있으며 위치획득 방법의 종류에 따라 다양한 유형의 AVLS모델이 등장하고 있다. 예를 들면 전통적인 GPS(Global Positioning System) 위성 수신, DGPS(Differential GPS) 기지국, PCS(Personal Communication System) Cell, 도로기반 시설에 포함되는 비콘 등의 방법에 의해 AVLS는 구현되고 있다. AVLS는 정보통신 요소 기술과 정보통신 기반 시설로 구성되는데, 정보통신 요소기술로는 위치획측의 매개체인 AVL단말기와 관제시스템 S/W. 그리고 GIS(Geographic Information System)가 있고, 정보통신 기반 시설로는 차량의 단말기와 관제시스템 사이의 데이터 중계를 담당하는 네트워크가 있다. 화물차량위치추적시스템을 구성하기 위한 구비요건으로 중계망의 안정성과 신뢰성, 획득한 위치데이터의 정확성, 관제시스템의 완성도와 AVL단말기의 사용자 인터페이스, GIS S/W개발을 위한 Map API(Application Program Interface)등을 들 수 있다. 본 연구에서는 PCS Cell 방식에 의한 위치결정방식을 채택하였는데, 이것은 PCS망을 기반으로 데이터를 주고받이며 인터넷 단말기로 확장 가능한 PCS 단말기를 사용해서 위치추적을 하는 시스템이다. 이러한 시스템을 선정하게된 배경은 단말기아 망 이용료의 가격이 저렴하여 현실적으로 트럭이 쉽게 부착할 수 있다는 장점이 있으며 나아가 인터넷 단말기를 활용하여 차량과 관제센터사이에 메시지 전송 등 부가적인 서비스가 가능하기 때문이다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.6 no.2
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• pp.57-69
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• 2007

The most important problem in logistic activities may be to decrease the transportation efficiency due to the traffic congestion in urban areas. The traffic congestion reduces the average travel speed of freight vehicles, and then increases the travel time. These problems can lead the logistic system to be inefficient. As a result, it causes an increase of transportation costs. In addition, the increased cost is a main barrier for the transition to an advanced logistic system. This study focuses on the analysis of key factors choosing commercial freight vehicles using Logistic regression-analysis with RP (Revealed Preference) data to solve the increase of private freight cars and transportation costs. Additionally, this paper presents policies to promote good use of commercial freight vehicles based on the results of this study.

• Journal of the Economic Geographical Society of Korea
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• v.14 no.4
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• pp.540-552
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• 2011

Freight travel pattern has been less studied comparing with the field of passenger travel. Nonetheless, the importance of the freight travel has been increasing in urban travel sector, and the research needs on the freight travel demand hence is increasing. The current paper aims to identify, by tons of freight trucks and cargos, the characteristics of mean travel pattern, efficiency or performance, and the characteristics of freight trip chain regarding destination location, destination type and freight type. The study analyzed the nation-wide data of freight travel behavior survey. This study intended to set the starting framework of decision-making principle in freight travel, which has already been popular in passenger travel study. Findings suggest that those characteristics are clearly distinguished among trucks and cargos of different sizes of tons. The results are expected to provide important insight to the development of relevant transportation policy measures.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2016.05a
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• pp.207-208
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• 2016

By according to increase the research for autonomous vehicle in automobile industries, the efficient of autonomous cargo truck instead of conventional driver cargo truck will be analyzed in logistics areas. The inland transportation has been serious problem such as traffic accident, traffic congestion in downtown, air pollution, noise and etc. even if it have a great effect to logistics industries. Especially there have to be improved its transportation schedule and sleepy driving in night which induced heavy accident in highway. In this study, the effectiveness of autonomous cargo truck will be analysed by considering the logistics cost including social effects.

• Journal of Korean Society of Transportation
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• v.22 no.4 s.75
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• pp.19-30
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• 2004

Due to the inefficient operation of the existing logistic facilities, the complicated distribution structure, and closed utilization of logistic information are causing high logistic costs. The general improvement in the distribution structure and the expansion of the logistic facilities are needed for solving these problems. However, existing unit-scale forecast is not considering the loading and unloading characteristics of the trucks and the improvement of operation efficiency from the mechanization and automation of the loading and unloading works. The queuing theory based on the status quo of the cargo trucks to the cargo terminals is considered in this study. The optimal scale estimation method(OSCM) which the loading and unloading characteristics of the cargo trucks were taken into consideration was suggested. Also, the relationship between the optimal scale of the cargo terminal and the mechanization, automation, and informationization of the present loading and unloading system was investigated. As a result, it showed that the regularity of the truck arrival and service times had less influence on the scale of the cargo terminal, but the improvement of the loading and unloading speeds and the service rate of the trucks did more influence on it.