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In this paper, we proposed a new car following model based on the Full Velocity Difference (FVD) model, with the acceleration of the front car considered. Compared with the FVD model, the improved model can simulate the motions of cars starting from a traffic signal more nature. Numerical simulation results show that the stability of the improved model is better than the FVD model, with appropriate...
Undesirable risk of hazardous materials transportation can be mitigated by a good routing. most scholars focus on the routing of hazardous materials transportation, but few papers concern with load-varied. The paper illustrates a routing model for the hazardous materials transportation under load-varied network. We use the Traditional Risk model for path risk assess, present a quadratic modeling methodology...
According to the randomness and weak economy properties of the Emergency Rescue Routing Problem (ERRP), a chance-constrained programming model is constructed based on a stochastic road network. In this model, we consider there are multiple emergency rescue departments serving for a single emergency site, and the travel times between any two nodes are stochastic variables. As the stochastic ERRP is...
This paper presents a specific simulation modeling of a hydraulic system with regenerative braking used to improve vehicle emissions and fuel economy. To optimize the bus integrated performance, an exact modeling of hydraulic component has been built up in Matlab/Siumulink. The simulation has been run on both designated parameters and CYC-UDDS drive cycle. At last, experiment results show that the...
Adaptive cruise control (ACC) system is a Driver assistant system, which can provide safe and comfortable driving. Based on the analysis of ACC system, a parameter self-tuning fuzzy-PID algorithm is developed to design the ACC control strategy. According to the traffic condition, the parameters of PID controller are adapted on-line by fuzzy rule. The simulation results show that the parameter self-...
This paper puts forward a method of identification of driver's intentions based on cloud model theory. By divided the steering driver's intentions into 6 interrelated species and corresponded three indexes of identification of driver's intentions with three numerical characteristic of cloud model based on cloud model knowledge, modeling, simulating and identification the driver's intentions under...
In this paper, an optimization is reported for the determination of time response (Tr) and power (P) of Electric Vehicle. The electric constant of back-electromotive-force, stator d- and q- axes inductances, switching period, battery voltage, stator resistance and torque gear ratio were selected as factors being able to influence the Tr and P. The optimization process was carried out with Doehlert...
In this paper, we propose deliberative upper-level behavior planning method for UGV with actively articulated suspension to negotiate geometric obstacle. Proposed deliberative planning method used Q-learning with the expert model for negotiating specific obstacle type. We modify the centipede locomotion pattern to the suspensions' locomotion and define the MDP using it. In 2D space, we define the...
In former times, engineers were only concern about ??designing?? a product that meets its objectives. Little concern was given to the future availability of natural resources. Current design trends are more stringent to say. Not only the product has to fulfill its objectives/ functional performance, but it has to fulfill the market needs and at the same time ensuring there is minimal material or energy...
A dual mechanical ports electric machine (DMPM) with clutch is used as an electrical variable transmission (EVT) in hybrid electric vehicle (HEV). In this paper, the working principle and advantages of this novel converter is explained. Then a method of power parameters matching design for DMPM with clutch considering the fuel economy and power performance based on driving cycle is presented and the...
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