Game Model for Balanced Use of Parking Lots
-
摘要: 针对群体式诱导容易导致局部停车拥堵的问题,通过分析停车管理者和驾驶员之间的博弈关系,引入Stackelberg博弈理论,对二者的博弈关系进行微观描述,建立了服务于个性化停车诱导的停车场均衡利用模型.该模型考虑驾驶员停车后步行距离最小化,满足驾驶员停车感知效用最大的同时,通过对高峰泊位空闲指数差异均值的控制,实现高峰停车泊位资源的均衡利用,避免局部停车拥堵.通过对唐山市综合交通进行仿真,结果表明:通过博弈模型的控制,高峰停车泊位溢出指数最大值由原来的0.168降至0.127;高峰泊位空闲指数差异均值呈整体下降趋势;高峰停车拥堵时间缩短了70 min,停车泊位资源利用趋于均衡.
-
关键词:
- 交通运输经济 /
- 停车 /
- 数学建模 /
- Stackelberg策略 /
- 停车选择
Abstract: To alleviate the local parking congestion problem caused by herding effect, a parking lots allocation model for individuation guidance was proposed using the Stackelberg game theory to describe the relationship between drivers and parking resources manager. In the model, the allocation plan strives for the minimum walking distance after parking and maximum perceived utility of drivers. By controlling the value of the mean parking unoccupied index difference (MPUID), the model realizes the balanced use of parking resources to avoid local congestions. To verify the validity of the proposed method, a case study was conducted to simulate the integrated traffic in Tangshan city. The results show that under the control of the model, the maximum peak parking spillover index (PPSI) decreases from 0.168 to 0.127, and the value of MPUID presents an overall downward trend. In addition, the congestion time in peak parking hours is shortened by 70 min, and the utilization of parking spaces tends to be balanced.-
Key words:
- transportation economy /
- parking /
- mathematical modeling /
- Stackelberg strategy /
- parking choice
-
吴兰菊. 浅析智能停车诱导现状与发展趋势[J]. 安全自动化,2014(11): 54-56. WU Lanju. The current situation and development trend of intelligent parking guidance[J]. Safety Automation, 2014(11): 54-56. THOMPSON R C, RICHARDSON J A. A parking search model[J]. Transportation Research: Part A, 1998, 32(3): 159-170. THOMPSON R C, TAKADA K, KOBAYAKAWA S. Optimization of parking guidance and Information systems display configurations[J]. Transportation Research: Part C, 2001, 9(1): 69-85. 黎冬平,陈峻,晏克非. 城市停车诱导信息板显示优化的双层目标模型[J]. 同济大学学报:自然科学版,2009,37(2): 203-206. LI Dongping, CHEN Jun, YAN Kefei. Bi-level objective model of display optimization for urban parking guidance message signs[J]. Journal of Tongji University: Natural Science, 2009, 37(2): 203-206. 杨晓芳,付强,牛兆雨. 基于停车诱导信息板的最优停车场推荐的双层目标模型[J]. 计算机应用研究,2014,31(10): 3017-3019,3040. YANG Xiaofang, FU Qiang, NIU Zhaoyu. Bi-level objective model of optimal parking lot recommendation based on parking guidance signs[J]. Application Research of Computers, 2014, 31(10): 3017-3019,3040. LINI G, PIAZZI A, CONSOLINI L. Multi-optimization of 3-splines for autonomous parking[C]//Proc of the 50th IEEE Conference on Decision and Control and European Control Conference.: IEEE Press, 2011: 6367-6372. RAN Jiangyu, GUO Xiucheng, TANG Liang, et al. Bi-level model for shared parking decision-making based on parking lot assignment simulation[J]. Journal of Southeast University: English Edition, 2011, 27(3): 322-327. FRED O. City of livermore downtown parking study, chapter VI: parking demand: shared parking[R]. California: Community Planning Department, 2006. OMMEREN J V, GROOTE J D, MINGARDO G. Residential parking permits and parking supply[J]. Regional Science and Urban Economics, 2014, 45(1): 33-44. MOLENDA I, SIEG G. Residential parking in vibrant city districts[J]. Economics of Transportation, 2013, 2(4): 131-139. ROBERT M, DRAGO P. Applicability of information technologies in parking area capacity optimization[J]. Interdisciplinary Management Research, 2010, 6: 143-151. SARANGI M K, PATI D, PARIDA A, et al. Optimization of the accuracy of automotive parking for the car-type mobile robot[J]. Applied Mechanics and Materials, 2013, 436: 358-365. 朱成娟,贾斌,韩凌辉. 基于Stackelberg博弈的停车位分配与定价[J]. 交通运输系统工程与信息,2015,15(3): 19-24. ZHU Chengjuan, JIA Bin, HAN Linghui. Parking space allocation and pricing based on stackelberg game[J]. Journal of Transportation Systems Engineering and Information Technology, 2015, 15(3): 19-24. 张卫华,杨博,周洁瑜. 基于纳什均衡的停车场规划模型[J]. 系统管理学报,2012,21(5): 684-689. ZHANG Weihua, YANG Bo, ZHOU Jieyu. Parking planning model based on Nash equilibrium[J]. Journal of Systems Management, 2012, 21(5): 684-689. 段满珍,杨兆升,米雪玉,等. 基于居住区共享停车的双层规划诱导模型[J]. 西南交通大学学报,2016,51(6): 1250-1257. DUAN Manzhen, YANG Zhaosheng, MI Xueyu, et al. Bi-level programming modelfor sharedparking consideringresidential parking resources[J]. Journal of Southwest Jiaotong University, 2016, 51(6): 1250-1257. 吕能超. 大型活动动态交通组织方法建模研究[D]. 武汉:武汉理工大学,2010. 朱炫东. 基于Stackelberg博弈的供应链信息共享策略研究[J]. 物流技术,2011,30(7): 164-166, 180. ZHU Xuandong. Study on supply chain information sharing strategy based on stackelberg game theory[J]. Logistics Technology, 2011, 30(7): 164-166,180. NEYESTANI M, FARSANGI M M, NEZAMABADI-POUR H. A modified particle swarm optimizer for economic dispatch with non-smooth cost functions[J]. Engineering Applications of Artificial Intelligence, 2010, 23(7): 1221-1126. 管青. 区域交通信号控制与交通诱导协同理论与关键技术研究[D]. 长春:吉林大学,2009. 段满珍,杨兆升,张林,等. 居住区泊位对外共享能力评估模型[J]. 交通运输系统工程与信息,2015,15(4): 106-112, 117. DUAN Manzhen, YANG Zhaosheng, ZHANG Lin, et al. Residential parking spaces shared capability assessment model[J]. Journal of Transportation Systems Engineering and Information Technology, 2015, 15(4): 106-112,117.
点击查看大图
计量
- 文章访问数: 594
- HTML全文浏览量: 106
- PDF下载量: 306
- 被引次数: 0