PURPOSES: This paper develops a new stochastic approach to analyze the pavement-vehicle interaction model with a certain roughness and elasticity for the pavement foundation, thereby accommodating the deflection of the pavement, and to identify the road subsidence zone represented with a sudden changes in the elasticity of the foundation. METHODS: In the proposed model, a quarter-car model was combined with a filtered white noise model of road roughness and a two-layer foundation (Euler-Bernoulli beam for the top surface and Winkler foundation to represent the sub-structure soil). An augmented state-space model for the subsystems was formulated. Then, because the input is White noise and the system is represented as a single system, the Lyapunov equation governing the covariance of the system’s response was solved to obtain a structurally weak zone index (WZI). RESULTS: The results showed that the WZI from the pavement-vehicle interaction model is sensitive enough to identify road subsidence. In particular, the WZI rapidly changed with a small change in foundation elasticity, indicating that the model has the potential to detect road subsidence in the early stage. CONCLUSIONS: Beacause of the simplicity of the calculation, the proposed approach has potential applications in managing road conditions while a vehicle travels along the road and detecting road subsidence using a device with an on-board computational capability, such as a smart phone.

In general, the road roughness is managed by the roughness factor(or level, index) which is numerically or quantitatively generated(or converted) from the surface profile. However, it should be mentioned that the various roughness indexes including IRI(i.e. International Roughness Index) consider only vertical displacement and one longitudinal profile. In this research, the new roughness index, which evaluates reasonably the ride quality, was developed through the extensive correlation analysis between various vehicle behavior and ride quality. The bounce and pitch of moving vehicle are caused by the change of longitudinal profile. On the other hand, the roll is caused by the difference of the left and right profiles. Since the pitch is caused by the bounce difference between the front and rear axles of a vehicle, the two values occur in a similar pattern. In this study, the bounce and roll of a vehicle were predicted with a half car model, which is connected with two quarter car models. A half-car model was used to calculate the roll rotation angle of the vehicle body according to the change of the road profile. The roll rotation angle was used to calculate the coordinates of the head position of the passenger in the passenger seat. Finally, the coordinates were used to calculate the horizontal and vertical displacement of the head position. The new roughness index is the cumulative RMS value of the horizontal and vertical displacement occurring at the head position while moving at a speed of 80 km/h per km. The first and second experiment results presented that the coefficient of determination(i.e. R2) for the new roughness index was the highest with 0.80. Moreover, the R2 values of MRI, HRI, and RN were also relatively high such as 0.73 ~ 0.79. The feasibility test was conducted on sections that show the greater IRI variation between left and right wheel-pass among the pilot sites. Because a prediction result came from MRI and IRI, the difference between KERI and MRI was relatively lager with the increment of IRI difference between right and left wheel-pass. In this case, the roll was high, and the satisfaction of the ride quality was relatively low. Based on the other field survey results obtained in Seoul, the portion of IRI difference between left and right wheel-pass was above 0.4m/km that presented approximately seven times higher value than the measured IRI values on the expressway. In addition, the sectors showed IRI difference level higher than 2.0m/km were approximately 70 times higher than those in expressway. Thus, it is possible that the KERI could successfully and reasonably evaluate the ride quality on various road types.

A sweep-based heuristic using common area is developed for multi-vehicle VRPs under time various and unsymmetric forward and backward vehicle moving speed. One depot and 2 delivery vehicle are assumed in this research to make the problem solving strategy simple. A common area is held to make adjustment of possible unbalance of between two vehicle delivery completion times. The 4 time zone heuristic is used to solve for efficient delivery route for each vehicle. The current size of common area needs to be studied for better results, but the suggested problem solving procedures can be expanded for any number of vehicles.

PURPOSES : The lack of details of design guideline for zig-zag shaped section approaching central bus stop leads an traffic accident proneness. So, this study analysed the geometric elements of central bus stop area in terms of vehicle dynamics and suggested design alternatives. METHODS: The study analysed a dynamic behaviour of bus moving in and out of zig-zag shaped section using Auto-Turn under scenarios. Based upon dynamic analysis, the study found out the width of overtaking lane is the most influential factor for a safe moving at zig-zag alignment. RESULTS : The width of overtaking lane at design speed of 40, 50, and 60 km/h respectively was suggested given taper ratio of 1 to 10 required for Bus Rapid Transit (BRT), and the lane width is not wider than 4.0m which possibly makes two vehicles using the same lane. Also, the width of overtaking lane which mitigates the taper ratio was suggested with the same restriction about the maximum lane width. CONCLUSIONS: The results of the study can be used to prepare a design guideline on zig-zag shaped alignment of central bus exclusive lanes. The more stable moving is expected by applying the design alternatives suggested, therefore the lower rate of traffic crashes at the vicinity of central bus stops.

An efficient vehicle routing heuristic for different vehicle moving times for forward and backward between two points is studied in this research. Symmetric distance or moving times are assumed to move back and forth between two points in general, but it is not true in reality. Also, various moving speeds along time zones are considered such as the moving time differences between rush hours or not busy daytimes. To solve this type of extremely complicated combinatorial optimization problems, delivery zones are specified and delivery orders are determined for promising results on the first stage. Then delivery orders in each zone are determined to be connected with other zones for a tentative complete delivery route. Improvement steps are followed to get an effective delivery route for unsymmetric-time-varing vehicle moving speed problems. Performance evaluations are done to show the effectiveness of the suggested heuristic using computer programs specially designed and developed using C++.

주행하는 차량이 도로포장에 가하는 동적 하중은 포장표면의 거칠기에 따라 그 크기가 변화하게 되며 설계하중보다 큰 하중이 재하 될 경우에는 포장의 공용성에 영향을 미치게 된다. 따라서 본 논문에서는 포장표면의 평탄성에 대한 지불규정을 시방에 적용하여 포장의 성능 및 품질향상을 도모하기 위한 기본연구로써 도로포장의 표면에 거칠기가 있을 때 주행차량에 의한 동적 하중 크기의 변화를 분석하였다. 먼저 평탄성이 좋지 않은 오래된 포장과 평탄성이 좋은 새로운 포장에서 구한 평탄성 데이터를 이용하여 구조해석을 수행함으로써 이러한 포장에서 차량이 주행할 때 동적 하중의 크기 변화를 비교 분석하였다. 그리고 차량속도와 표면 거칠기의 진폭 및 파장이 차량 동적 하중 크기에 미치는 영향을 가상의 평탄성 데이터를 구성하여 분석하였다. 이러한 표면 거칠기에 의한 동적 차량하중 크기의 증가는 포장의 응력 및 변형률에 영향을 미치며 궁극적으로 포장의 공용성과 연관되기 때문에 표면 거칠기와 포장의 공용성과의 관계를 유출하는 방법을 제시하였다

본 연구는 연속철근콘크리트포장이 주행 차량하중을 받을 때의 거동을 분석하고 철근비가 이러한 거동에 미치는 영향을 연구하기 위하여 수행되었다. 0.6. 0.7. 0.8%의 다른 철근비를 가진 단면을 대상으로 차량하중이 가하질 때의 연속철근콘크리트포장의 거동과 밀접한 연관이 있는 균열부에서의 하중전달률을 평가하여 비교 분석하고, 또한 주행하는 트럭하중에 대한 콘크리트 슬래브의 응력을 비교 분석하여 철근비가 차량하중에 대한 연속철근콘크리트포장의 거동에 미치는 영향을 연구하였다. 균열부에서의 하중전달률을 구하기 위하여 Falling Weight Deflectometer (FWD) 충격하중 재하시험을 수행하였으며 컬링 현상으로 인하여 횡방향균열에서 하중전달효과가 변화하는지 파악하기 위하여 FWD 충격하중 재하시험을 하루 중 다른 세 가지 시간에 수행하였다. 또한 콘크리트 슬래브 및 분리층의 동적 변형률을 측정하기 위하여 차량 동적하중 재하시험을 수행하였다. 연구 결과 연속철근콘크리트포장의 횡방향균 열부에서의 하중전달률은 대체적으로 매우 높으며 측정시간(또는 온도변화)에 따른 변화는 매우 작아 뚜렷한 특징이 없으며 철근비가 다른 구간에서도 뚜렷한 차이가 없었다. 그리고 차량속도가 증가하면 콘크리트 슬래브와 분리층의 변형률이 감소하는 경향을 보였으며 주행이격이 생기면 변형률이 감소하였으나 철근비의 변화에 따른 차량 동적하중에 대한 연속철근콘크리트포장의 변형률의 변화는 뚜렷하지 않았다.

For the evaluation of load carrying capacity of continuous bridges, the testing target span should be selected where peak impact factor can be expected. In this paper, two and three continuous bridges with equal span length are considered and the moving vehicle load analysis is performed. All possible vehicle speeds are applied to the bridges and the peak impact factors obtained for each span are investigated. From the results, the maximum peak impact factors are developed at the middle of the first span to the direction of vehicle moving.

Flight of an autonomous unmanned aerial vehicle (UAV) generally consists of four steps; take-off, ascent, descent, and finally landing. Among them, autonomous landing is a challenging task due to high risks and reliability problem. In case the landing site where the UAV is supposed to land is moving or oscillating, the situation becomes more unpredictable and it is far more difficult than landing on a stationary site. For these reasons, the accurate and precise control is required for an autonomous landing system of a UAV on top of a moving vehicle which is rolling or oscillating while moving. In this paper, a vision-only based landing algorithm using dynamic gimbal control is proposed. The conventional camera systems which are applied to the previous studies are fixed as downward facing or forward facing. The main disadvantage of these system is a narrow field of view (FOV). By controlling the gimbal to track the target dynamically, this problem can be ameliorated. Furthermore, the system helps the UAV follow the target faster than using only a fixed camera. With the artificial tag on a landing pad, the relative position and orientation of the UAV are acquired, and those estimated poses are used for gimbal control and UAV control for safe and stable landing on a moving vehicle. The outdoor experimental results show that this vision-based algorithm performs fairly well and can be applied to real situations.

This paper presents a laboratory validation for a Finite Element model updating method using moving vehicle input-deflection output measurements. In conventional FE model updating, a few natural frequencies measured from field experiments have been used to update the FE model based on the assumption that the mass matrix is known accurately. The proposed approach can update the stiffness matrix without the assumption by using static input-output measurements and can even update the mass matrix by using a few natural frequencies obtained from dynamic measurements. Laboratory experiments were carried out for a scaled model of Samseung Bridge located in the test road of Korea Highway Corporation. For a simplicity of experiments, a mass (11kgf) was located in four different locations on the deck and two deflections were measured by laser displacement meters: one at the center girder, and the other in at the outer girder, both in mid-span. Results showed that the proposed methods was capable to estimate Young's Modulus and the mass density of the model bridge accurately while natural-frequency-based updating may result in significant error when higher modes (2nd, 3rd) were used.

In this study an algorithm estimating total load and axial load was conducted using BWIM(Bridge Weigh-in-Motion) system with precision analysis model. Driving test for running vehicle is necessary but it needs much cost, time, and especially hard to applicate to various driving condition. Thus we need a numerical-simulation method for resolving the cost and time problems of driving test for vehicle, and a way to measure bridge responses reflecting many unpredictable situations. Using a precision analysis model reflecting the dynamic characteristic contributes to increase the accuracy in numerical simulation. In this paper, we conduct a numerical simulation to apply a precision analysis model, which reflects the dynamic characteristic of a bridge using the Bridge Weigh-in-Motion system, and suggested a method of overloaded vehicle enforcement technology using the precision analysis model.