基于强化学习的智能汽车转移计划系统的设计,用于停车场
Feng Guo1, Haiyu Xu2, Peng Xu2
1School of Management Science and Engineering, Chongqing Technology and Business University, Chongqing 400067, China.
Mathematical biosciences and engineering : MBE
|February 2, 2024
概括
本研究介绍了一个智能停车管理系统,使用强化学习进行最佳的汽车转移计划. 该系统通过自主决策和以未来为重点的战略提高了效率并减少了停车时间.
科学领域:
- 人工智能的人工智能
- 机器人技术 机器人技术 机器人技术
- 运营研究 运营研究
背景情况:
- 传统的停车场汽车转让规划通常依赖于手动方法,导致效率低下.
- 需要智能停车管理系统来优化车辆移动和资源利用.
- 强化学习为复杂环境中的自主决策提供了强大的框架.
研究的目的:
- 设计和评估使用强化学习的停车场的汽车转让计划系统.
- 开发一种能够自主决策和最佳路径规划的智能系统.
- 通过面向未来的战略提高停车场的效率,并最大限度地提高预期的回报.
主要方法:
- 制定汽车转移问题作为马尔科夫决策过程.
- 采用基于动态编程的强化学习算法来优化战略.
- 根据每个州的预期未来回报来评估战略.
主要成果:
- 开发的系统在汽车转让计划中表现出高性能和稳定性.
- 强化学习可以实现自主决策,以实现有效的停车场管理.
- 该系统有效地规划最佳路径,从而减少停车时间和提高资源利用率.
结论:
- 强化学习为停车场的智能汽车转移计划提供了一种有效的方法.
- 该系统优先考虑长期利益的能力确保了可持续的运营发展.
- 这种智能系统通过优化车辆流量和降低运营成本,显著改善了停车场管理.
相关概念视频
PD Controller: Design
233
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,...
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
233
Controller Configurations
99
Controller configurations are crucial in a car's cruise control system because they manage speed over time to maintain a consistent pace regardless of road conditions, thereby meeting design goals. In traditional control systems, fixed-configuration design involves predetermined controller placement. System performance modifications are known as compensation.
Control-system compensation involves various configurations, most commonly series or cascade compensation, in which the controller...
Control-system compensation involves various configurations, most commonly series or cascade compensation, in which the controller...
99
Multi-input and Multi-variable systems
106
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...
In the absence...
106
Root-Locus Method
151
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...
This system can be represented by a block...
151
Design Example: Automobile Ignition System
231
The automobile's ignition system plays a vital role by ensuring the timely ignition of the fuel-air mixture in each cylinder. This ignition is facilitated by a spark plug, which is composed of two electrodes separated by an air gap. A spark forms across this air gap when a substantial voltage is generated between the electrodes, leading to the ignition of the fuel.
One can generate a large voltage using a car battery of 12 volts with the help of inductors. Inductors are known for opposing...
One can generate a large voltage using a car battery of 12 volts with the help of inductors. Inductors are known for opposing...
231
PI Controller: Design
274
Proportional Integral (PI) controllers are a fundamental component in modern control systems, widely used to enhance performance and mitigate steady-state errors. They are particularly effective in applications such as automatic brightness adjustment on smartphones, where they excel at mitigating steady-state errors for step-function inputs. Unlike PD controllers, which require time-varying errors to function optimally, PI controllers leverage their integral component to address residual...
274


