考虑综合效益最大的交通信息采集设备组合优化模型
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摘要
为避免交通信息采集设备的过度投放,提出一种考虑综合效益最大化的采集设备组合配置模型。首先明确服务于城市日常交通管理的数据需求和各类常见采集设备的特性,然后从需求和供给两个角度入手,建立采集设备布设费用最小和采集数据最优的多目标函数,并提出使用基于灰关联度的多目标规划求解法获取模型的最优解。最后,以成都市三环路某片区为实例进行分析,得出该片区内共需要布置环形线圈采集设备16对,视频采集设备14组,GPS浮动车43辆。计算结果表明,组合配置模型能有效解决设备过度投放导致的资源浪费问题,同时最大化地提高了设备的使用效率,节约了总投入成本。
In order to avoid the over-delivery problem of traffic information collection equipment,this paper presents a combination assignment model considering maximizingthe overall benefits. First of all,data demandwhich serves the daily city traffic management and the characteristics of common data collecting devices are identified. Furthermore,from the perspectives of demand and supply,a multi-objective function with the lowest acquisition cost and the best acquisition data is established. The use of multi-objective programming solution based on gray relational degree is proposed to obtain the optimal solution of the model. Finally,taking an area around the Third Ring Road in Chengdu as an example,the validity of the model is verified. The calculation result shows that a total number of 16 pairs of loop coil collecting devices,14 video collecting devices and 43 GPS floating cars need to be placed in this area. Also,it illustrates that using the combination assignment model can effectively solve the problem of resource waste caused by over-delivery of the equipment,as well as maximize the utilization efficiency of the equipment,and save the total investment cost eventually.
In order to avoid the over-delivery problem of traffic information collection equipment,this paper presents a combination assignment model considering maximizingthe overall benefits. First of all,data demandwhich serves the daily city traffic management and the characteristics of common data collecting devices are identified. Furthermore,from the perspectives of demand and supply,a multi-objective function with the lowest acquisition cost and the best acquisition data is established. The use of multi-objective programming solution based on gray relational degree is proposed to obtain the optimal solution of the model. Finally,taking an area around the Third Ring Road in Chengdu as an example,the validity of the model is verified. The calculation result shows that a total number of 16 pairs of loop coil collecting devices,14 video collecting devices and 43 GPS floating cars need to be placed in this area. Also,it illustrates that using the combination assignment model can effectively solve the problem of resource waste caused by over-delivery of the equipment,as well as maximize the utilization efficiency of the equipment,and save the total investment cost eventually.
引文
[1]《中国公路学报》编辑部.中国交通工程学术研究综述·2016[J].中国公路学报,2016,29(6):1-161.
[2]黄昕.考虑综合效益的城市交通信息采集设备组合配置问题研究[D].成都:西南交通大学,2015.
[3]姚磊,张开冉.基于模糊逻辑的交通拥挤状态识别算法[J].西华大学学报(自然科学版),2014,33(3):66-69.
[4]孙智源.考虑交通大数据的交通检测器优化布置模型[J].清华大学学报(自然科学版),2016,56(7):743-750.
[5]马黎.基于RFID的关键交通信息采集技术研究[D].广州:广东工业大学,2011.
[6]严荣泉,向红艳.城市道路固定型交通检测器布局优化模型[J].公路交通技术,2008(2):28-31
[7]朱敏慧.城市道路交通流时变特征研究[J].城市道桥与防洪,2016(5):193-198.
[8]宋海权,刘刚.基于复杂网络的城市道路重要度评价及路网自动综合方法[J].测绘工程,2017,26(1):8-12.
[9]顾天奇,朱荣军,高欣,等.交通信息采集关键技术研究[J].交通科技,2010(S2):104-108.
[10]王许涛.基于交通信息路网覆盖率的浮动车系统配置优化研究[D].北京:北京交通大学,2012.
[11]科宏发.基于灰关联度的多目标规划新求解算法[J].系统工程与电子技术,2010(3):544-547.
[12]王曙.车辆主动安全预警与交通信息采集系统设计与实现[D].广州:华南理工大学,2015.
[2]黄昕.考虑综合效益的城市交通信息采集设备组合配置问题研究[D].成都:西南交通大学,2015.
[3]姚磊,张开冉.基于模糊逻辑的交通拥挤状态识别算法[J].西华大学学报(自然科学版),2014,33(3):66-69.
[4]孙智源.考虑交通大数据的交通检测器优化布置模型[J].清华大学学报(自然科学版),2016,56(7):743-750.
[5]马黎.基于RFID的关键交通信息采集技术研究[D].广州:广东工业大学,2011.
[6]严荣泉,向红艳.城市道路固定型交通检测器布局优化模型[J].公路交通技术,2008(2):28-31
[7]朱敏慧.城市道路交通流时变特征研究[J].城市道桥与防洪,2016(5):193-198.
[8]宋海权,刘刚.基于复杂网络的城市道路重要度评价及路网自动综合方法[J].测绘工程,2017,26(1):8-12.
[9]顾天奇,朱荣军,高欣,等.交通信息采集关键技术研究[J].交通科技,2010(S2):104-108.
[10]王许涛.基于交通信息路网覆盖率的浮动车系统配置优化研究[D].北京:北京交通大学,2012.
[11]科宏发.基于灰关联度的多目标规划新求解算法[J].系统工程与电子技术,2010(3):544-547.
[12]王曙.车辆主动安全预警与交通信息采集系统设计与实现[D].广州:华南理工大学,2015.