1. 常州大学信息科学与工程学院
2. 浙江大学城市学院计算机与计算科学学院
纸质出版:2019
移动端阅览
庞华健, 陈观林, 徐煌. 基于分布式架构的停车位分配算法[J]. 传感器与微系统, 2019,(5):117-120+124.
PANG Huajian, CHEN Guanlin, XU Huang. Parking slot allocation algorithm based on distributed architecture[J]. 2019, (5): 117-120+124.
庞华健, 陈观林, 徐煌. 基于分布式架构的停车位分配算法[J]. 传感器与微系统, 2019,(5):117-120+124. DOI: 10.13873/J.1000-9787(2019)05-0117-04.
PANG Huajian, CHEN Guanlin, XU Huang. Parking slot allocation algorithm based on distributed architecture[J]. 2019, (5): 117-120+124. DOI: 10.13873/J.1000-9787(2019)05-0117-04.
为了方便车主寻找车位
优化城市停车位资源
缓解高峰时段泊车位紧张问题
提出了基于分布式架构的泊车分配算法。通过用户终端收集包含当前位置坐标信息与目的地坐标信息的用户泊车请求
根据目的地临近泊车位的可用状态
将路径规划返回给用户终端。与传统算法相比
分布式泊车算法具有更高的抗压能力与全局搜索能力
能够确保泊车信息的实时性与有效性
以减少停车位紧张和车位失效等状况。仿真结果表明:算法可在高需求量、高需求比场景下更快速、更准确地找到占优解集
且更符合实际情况
具有一定的应用价值。
In order to make it easier for drivers to find a parking slot
optimize the resources of urban parking slots
and alleviate the problem of parking slot shortage
a distributed parking allocation algorithm is proposed. The algorithm collects the parking requests of user
including current position coordinate information of the users and destination coordinate information
according to available state of parking slot near destination
the parking route planning is returned to the client. Compared with the traditional algorithm
the distributed parking algorithm has a higher ability to withstand pressure and global search capability
and it can ensure the real-time and validity of the parking information
so as to reduce the problem of the parking slot shortage and unavailable parking slot. The simulation results show that this algorithm can find the solution set more quickly and accurately under the circumstance of high demand
it also have application value and practicality.
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