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相关概念视频

Root-Locus Method01:19

Root-Locus Method

180
A cruise control system in a car is designed to maintain a specified speed automatically by adjusting the gas pedal. The system continuously measures the vehicle's speed and makes fine adjustments to the pedal to achieve this goal. The root locus method is particularly useful for understanding how the cruise control system's behavior changes under varying conditions, such as when the car goes uphill, downhill, or faces strong wind resistance.
This system can be represented by a block...
180
Rolling Resistance: Problem Solving01:17

Rolling Resistance: Problem Solving

380
Rolling resistance, also known as rolling friction, is the force that resists the motion of a rolling object, such as a wheel, tire, or ball, when it moves over a surface. It is caused by the deformation of the object and the surface in contact with each other, as well as other factors like internal friction, hysteresis, and energy losses within the materials. Rolling resistance opposes the object's motion, requiring additional energy to overcome it and maintain movement. In practical...
380
PD Controller: Design01:26

PD Controller: Design

283
In automotive engineering, car suspension systems often employ Proportional Derivative (PD) controllers to enhance performance. PD controllers are utilized to adjust the damping force in response to road conditions. A controller, acting as an amplifier with a constant gain, demonstrates proportional control, with output directly mirroring input.
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
283
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

673
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
673
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

81
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
81
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

129
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
129

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相关实验视频

Updated: Jul 21, 2025

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation
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通过模拟算法优化自动驾驶汽车的调度方案.

Xu Jianqiao1

  • 1College of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.

Science progress
|July 26, 2023
PubMed
概括
此摘要是机器生成的。

这项研究优化了自动驾驶电动汽车 (SEV) 对物流的调度,减少能源使用和排放. 动态编程模型和模拟算法有效地规划SEV路线,以改善经济和环境效益.

关键词:
动态编程是动态的编程.后勤工程工程 后勤工程工程总体规划 总体规划自动驾驶的电动汽车模拟算法模拟算法车辆的调度是发送的.

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相关实验视频

Last Updated: Jul 21, 2025

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科学领域:

  • 后勤技术技术的物流技术.
  • 自主系统 自主系统
  • 可持续的运输可持续的运输

背景情况:

  • 自动驾驶电动汽车 (SEV) 在货运效率,节能和减排方面取得了进展.
  • 优化SEV物流需要全面的车辆调度,以获得经济和环境的好处.
  • 在SEV物流中存在的挑战包括高效的路线规划和能源管理.

研究的目的:

  • 开发一种优化自动驾驶汽车用于物流的调度场景和参数的方法.
  • 为了解决现实世界的货运问题,在双向单车道道路上设置充电站.
  • 通过高效的SEV运营,增强经济和环境效益.

主要方法:

  • 基于动态编程的优化模型的开发.
  • 设计一个优化模拟算法来解决动态编程模型.
  • 计算机模拟以在特定货运场景上测试拟议的方法.

主要成果:

  • 拟议的模型和算法有效地解决了整体车辆调度问题.
  • 模拟算法在不同的参数中显示出良好的通用性.
  • 该算法实现了高效率,快速完成复杂的模拟 (例如,150辆车,1000小时,10公里的道路在1.5秒内).

结论:

  • 动态编程模型和模拟算法为SEV物流优化提供了有效的解决方案.
  • 该方法成功地优化了调度方案,并最大限度地提高了货物运输.
  • 这种方法显著提高了自动驾驶电动汽车物流的效率和可持续性.