Optimal traffic sensor layout model considering traffic big data

SUN Zhiyuan; LU Huapu

doi:10.16511/j.cnki.qhdxxb.2016.24.025

PDF(1096 KB)

Journal of Tsinghua University(Science and Technology) ›› 2016, Vol. 56 ›› Issue (7) : 743-750. DOI: 10.16511/j.cnki.qhdxxb.2016.24.025

CIVIL ENGINEERING

Optimal traffic sensor layout model considering traffic big data

{{article.zuoZhe_EN}}

Author information +

History +

Abstract

An optimal traffic sensor layout model was developed to improve the accuracy, reliability and economy of urban traffic information collection. The traffic sensor layout was optimized in light of big data traffic information with the system optimized with consideration of the system cost, multi-source data sharing, data demand, fault conditions, road infrastructure, and different types of sensors. The impact of these influential factors was taken into account in a multi-objective programming model that included system cost minimization, traffic flow intercept maximization, path coverage minimization, and an origin-destination(OD) coverage constraint. The model was solved by the tolerant lexicographic method based on a genetic algorithm. A case study shows that the model provides multi-objective optimization, reflects the influence of multi-source data sharing and fault conditions, satisfies the origin-destination coverage constraint, and provides the optimal traffic sensor layout.

Key words

traffic survey / optimal traffic sensor layout / multi-objective programming / traffic big data / genetic algorithm / tolerant lexicographic method

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

SUN Zhiyuan, LU Huapu. Optimal traffic sensor layout model considering traffic big data[J]. Journal of Tsinghua University(Science and Technology). 2016, 56(7): 743-750 https://doi.org/10.16511/j.cnki.qhdxxb.2016.24.025

References

[1] Kwon J, Coifman B, Bickel P. Day-to-day travel-time trends and travel-time prediction from loop-detector data[J]. Transportation Research Record, 2000(1717):120-129.
[2] Zwahlen H T, Russ A, Oner E, et al. Evaluation of microwave radar trailers for nonintrusive traffic measurements[J]. Transportation Research Record, 2005(1917):127-140.
[3] Nanthawichit C, Nakatsuji T, Suzuki H. Application of probe-vehicle data for real-time traffic-state estimation and short-term travel-time prediction on a freeway[J]. Transportation Research Record, 2003(1855):49-59.
[4] 于渊, 雷利军, 景泽涛, 等. 北斗卫星导航在国内智能交通等领域的应用分析[J]. 工程研究——跨学科视野中的工程, 2014, 6(1):86-91.YU Yuan, LEI Lijun, JING Zetao, et al. Brief probe into the status and trend of compass navigation's application in domestic intelligent transportation systems[J]. Journal of Engineering Studies, 2014, 6(1):86-91.(in Chinese)
[5] Ahas R, Aasa A, Silm S, et al. Daily rhythms of suburban commuters' movements in the Tallinn metropolitan area:Case study with mobile positioning data[J]. Transportation Research Part C, 2010, 18(1):45-54.
[6] Bartin B, Ozbay K. A clustering based methodology for determining the optimal roadway configuration of detectors for travel time estimation[C]//Proceedings of the 2007 IEEE Intelligent Vehicles Symposium. Istanbul, Turkey:Institute of Electrical and Electronics Engineers, 2007:285-289.
[7] 张墨逸, 曹洁, 牛建强, 等. 基于图论与矩阵论的交通检测器布设新方法[J]. 公路交通科技, 2012, 29(11):130-134.ZHANG Moyi, CAO Jie, NIU Jianqiang, et al. A new layout of traffic detectors based on graph theory and matrix theory[J]. Journal of Highway and Transportation Research and Development, 2012, 29(11):130-134.(in Chinese)
[8] LIU Yang, ZHU Ning. A multi-objective detector location optimization approach[C]//Proceedings of the 14th COTA International Conference of Transportation Professionals. Changsha:American Society of Civil Engineers, 2014:1788-1800.
[9] HAO Guang, XIANG Hongyan, ZHANG Guolin. Traffic detector optimal location model and algorithm for dynamic OD estimation[C]//Proceedings of the 2nd International Conference on Transportation Engineering. Chengdu:American Society of Civil Engineers, 2009:2431-2436.
[10] 邵敏华, 孙立军, 邵显智. 基于转弯比例的网络检测器布设模型及算法[J]. 吉林大学学报:工学版, 2013, 43(6):1476-1481.SHAO Minhua, SUN Lijun, SHAO Xianzhi. Network location model of sensors and algorithm based on tuning ratios[J]. Journal of Jilin University:Engineering and Technology Edition, 2013, 43(6):1476-1481.(in Chinese)
[11] Bertini R L, Lovell D J. Impacts of sensor spacing on accurate freeway travel time estimation for traveler information[J]. Journal of Intelligent Transportation Systems, 2009, 13(2):97-110.
[12] Barceló J, Gilliéron F, Linares M P, et al. Exploring link covering and node covering formulations of detection layout problem[J]. Transportation Research Record, 2012(2308):17-26.
[13] ZHANG Jisheng, JIN Maojing. Optimal sensor density for freeway travel time estimation with multi-class traffic flow[C]//Proceedings of Second International Conference on Transportation Information and Safety. Wuhan:American Society of Civil Engineers, 2013:904-913.
[14] LI Haijian, DONG Honghui, JIA Limin, et al. A new measure for evaluating spatially related properties of traffic information credibility[J]. Journal of Central South University, 2014, 21(6):2511-2519.
[15] 陆化普, 孙智源, 屈闻聪. 大数据及其在智能交通系统中的应用综述[J]. 交通运输系统工程与信息, 2015, 15(5):45-52.LU Huapu, SUN Zhiyuan, QU Wencong. Big data and its application in urban intelligent transportation system[J]. Journal of Transportation Systems Engineering and Information Technology, 2015, 15(5):45-52. (in Chinese)
[16] YANG Hai, ZHOU Jing. Optimal traffic counting locations for origin-destination matrix estimation[J]. Transportation Research Part B, 1998, 32(2):109-126.
[17] YANG Hai, YANG Chao, GAN Liping. Models and algorithms for the screen line-based traffic counting location problems[J] Computers and Operations Research, 2006, 33(3):836-858.
[18] 朱宁. 交通网络检测器布设优化问题研究[D]. 天津:天津大学, 2012.ZHU Ning. Detector Location Optimization on Transportation Network[D]. Tianjin:Tianjin University, 2012.(in Chinese)
[19] 谭昌柏, 袁军, 周来水. 基于宽容分层序列法的飞机装配公差稳健设计技术[J]. 中国机械工程, 2012, 23(24):2962-2967.TAN Changbai, YUAN Jun, ZHOU Laishui. Robust tolerancing for aircraft assembly based on tolerant lexicographic method[J]. China Mechanical Engineering, 2012, 23(24):2962-2967.(in Chinese)
[20] 邢文训, 谢金星. 现代优化计算方法[M]. 第2版. 北京:清华大学出版社, 2006.XING Wenxun, XIE Jinxing. Modern Optimization Algorithms[M]. 2 ED. Beijing:Tsinghua University Press, 2006.(in Chinese)
[21] Nguyen S, Dupuis C. An efficient method for computing traffic equilibria in networks with asymmetric transportation costs[J]. Transportation Science, 1984, 18(2):185-202.
[22] 陆化普. 交通规划理论与方法[M]. 第2版. 北京:清华大学出版社, 2006.LU Huapu. Theory and Method in Transportation Planning[M]. 2 ED. Beijing:Tsinghua University Press, 2006.(in Chinese)