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This paper proposes a path generation method using model predictive control for merging of automobiles on a motor way. The path generation problem is formulated as a mixed integer programming (MIP) problem. The method is implemented based on receding horizon philosophy. The MIP is solved at each step then a first element of the optimal input is applied to system. The point of the proposed method is...
This paper studies the problem of high-speed train operation with special attention to minimizing the energy consumption. The performance characteristics of a high-speed train, including traction characteristic and regenerative braking, and the railway geographical conditions consisting of slope, curve, and tunnel parameters, are fully considered in the dynamic model in order to make it more effective...
In this paper we present a model-based traffic flow control approach to improve both traffic flow and emissions in a traffic network. A model predictive control (MPC) is implemented using a microscopic car-following traffic flow model and an average-speed-based emission model. We consider reduction of total time spent (TTS) and total emissions (TE) as performance measures of the control strategy....
To comprehensively deal with tracking capability and fuel economy issue of ACC-activated vehicle, this paper presents a MPC based vehicular following control algorithm. After compensating the nonlinearity of vehicle longitudinal dynamics by inverse model, the car-following system is built as 3-state space linear model. On its basis, a standard MPC optimization cost is constructed mainly considering...
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