摘要
为缓解有限的交通警力资源与道路交通事故处理不及时之间的矛盾,提出道路网格化管理模式下基于排队论模型的交通警力优化配置方法。首先,利用城市路网卡口系统获取的车牌识别数据,提取车辆的历史出行轨迹,建立路段之间的相似度模型;其次,采用谱聚类算法对路段进行聚类划分,形成路段之间关联度最高的集合,作为城市道路网格划分的结果;然后,针对网格范围内实时发生的交通事故,进一步提出利用排队论模型来计算每个网格所需的最少警员数量,以及相应的警力资源配置优化方案;最后,以宁波市鄞州区为例验证所提方法。结果表明:与传统的“事故即发生即派发警员”的方法相比,提出的警力资源配置优化方法能够减少18.18%的警员配置数量和10.87%的出警巡航路程,使事故处置的响应速度提高10.68%,表现出良好的优化性能。
To alleviate the contradiction between limited traffic police resources and the untimely handling of road traffic accidents,a traffic police resource optimization allocation approach was proposed based on a queuing theory model under a grid management mode of roads.Firstly,license plate recognition data obtained from the city's road network bayonet system was used to extract historical travel trajectories of vehicles and develop a similarity model between road segments.Secondly,the spectral clustering algorithm was adopted to cluster the road segments and form a set with the highest association between the segments,serving as the result of the road network division.Then,for the real-time traffic accidents within the grid,a queuing theory model was further proposed to calculate the minimum number of police officers required for each grid,along with an optimized allocation scheme for police resources.Finally,the proposed method was validated in Yinzhou District of Ningbo City.The results showed that the proposed optimization method for police allocation reduced the number of police officers by 18.18%and patrol mileage by 10.87%compared to the traditional method of dispatching police officers as soon as an accident occurs.Furthermore,the proposed method increased the accident handling response speed by 10.68%,demonstrating excellent optimization performance.
作者
胡正华
周继彪
郭旭
马昌喜
HU Zhenghua;ZHOU Jibiao;GUO Xu;MA Changxi(School of Cyber Science and Engineering,Ningbo University of Technology,Ningbo Zhejiang 315211,China;Ningbo Highway Construction&Management Center,Ningbo Zhejiang 315199,China;School of Transportation Engineering,Tongji University,Shanghai 201804,China;School of Traffic and Transportation,Lanzhou Jiaotong University,Lanzhou Gansu 730070,China)
出处
《中国安全科学学报》
CAS
CSCD
北大核心
2024年第7期178-185,共8页
China Safety Science Journal
基金
浙江省哲学社会科学规划课题(22NDQN279YB)
宁波市自然科学基金资助(2023J185)。
关键词
排队论
交通警力
资源配置
交通事故
网格化管理
queuing theory
traffic police
resource allocation
traffic accidents
grid-based management
