The optimization problem of relief supplies distribution for large-scale emergencies is discussed in this paper. Under the situation that the needs for relief supplies are more numerous and urgency, the optimization goal should be minimum disaster loss instead of minimum delivery cost or shortest travel distance. By setting objective function about minimum disaster loss, scheduling model of rel...

Transport mode information is essential for understanding people’s movement behavior and travel demand estimation. Current approaches extract travel information once the travel is complete. Such approaches are limited in terms of generating just-in-time information for a number of mobility based applications, e.g., real time mode specific patronage estimation. In order to detect the transport m...

shear-wave velocity ( ) is an important parameter used for site characterization in geotechnical engineering. however, dispersion curve inversion is challenging for most inversion methods due to its high non-linearity and mix-determined trait. in order to overcome these problems, in this study, a joint inversion strategy is proposed based on the particle swarm optimization (pso) algorithm. the ...

In this paper we use a model-based traffic control approach to determine dynamic speed limits with the aim of reducing fuel consumption and emissions, while still guaranteeing small travel times. The approach we propose is based on model predictive control (MPC). MPC is a modelbased control design method that combines prediction and on-line optimization of a performance criterion over a given t...

Fuzzy logic controller; Adaptive; Traffic conditions; Genetic algorithm; Multi-objective; Pareto; Full-vehicle model. Abstract Vehicle ride comfort is a function of the frequency content of transmitted vibrations to passengers from road irregularities. However, this frequency content varies with vehicle speed fluctuations, which occur under real traffic conditions. The design of an adaptive act...