Lag Vehicle Research Articles

Microsimulation of Freeway Ramp Merging Processes Under Congested Traffic Conditions

This paper describes a microsimulation program developed to study freeway ramp merging phenomena under congested traffic conditions. The results of extensive macroscopic and microscopic studies are used to establish a model for the behavior of merging drivers. A theoretical framework for modeling the ramp and freeway lag driver acceleration-deceleration behavior guided the model development. This methodology uses the stimuli-response psychophysical concept as a fundamental rule and is formulated as a modified form of the conventional car-following models. Data collected at the two merging points are used to calibrate the hypothesized ramp and freeway lag vehicle acceleration models. Drawing on this behavioral model, the freeway merging capacity simulation program (FMCSP) is developed to simulate actual traffic conditions. This model evaluates the capacity of a merging section for a given geometric design and flow condition. Validation of FMCSP is performed using the observed flow, vehicle trajectories, and lane-changing maneuvers. The simulation model is applied to investigate a variety of merging strategies. The results indicated that the FMCSP is capable of simulating the actual traffic conditions of congested freeway ramp merging sections and will aid in the development of traffic management strategies for complex freeway ramp merging areas.

다수 위협에 대한 무인항공기 최적 경로 계획

본 논문은 레이더와 같은 지상의 다수위협이 존재하는 상황에서 무인항공기의 비행경로 최적화에 관한 것이다. 레이더에 의한 피탐성, 즉 비행체에 의해 반사되는 레이더 신호강도를 최소화하면서 목적지까지의 비행시간을 최소화하는 관점에서 성능지수를 제안하였다. 1차의 시간지연 시스템으로 가정된 비행체의 경사각을 제어입력으로 고려하였으며, Sequential Quadratic Programming기법에 기반한 입력 파라미터 최적화 기법을 사용하여 궤적최적화를 수행하였다. 제안된 무인 항공기 경로계획 기법은 Voronoi 선도기법과 비교하였을 때, 생존성을 증대시키면서도 항공기의 역학적 특성을 고려한 비행경로를 제공한다. This paper addresses the trajectory optimization of Unmanned Aerial Vehicles(UAVs) under multiple ground threats like enemy's anti-air radar sites. The power of radar signal reflected by the vehicle and the flight time are considered in the performance cost to be minimized. The bank angle is regarded as control input for a 1st-order lag vehicle, and input parameter optimization method based on Sequential Quadratic Programming (SQP) is used for trajectory optimization. The proposed path planning method provides more practical trajectories with enhanced survivability than those of Voronoi diagram method.