Volume 39 Issue 6
Dec.  2021
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HE Weitao, WANG Yandong, GONG Yanpeng, ZHAO Jian. An Evaluation Study of Network Optimization through Connecting Dead-end-roads[J]. Journal of Transport Information and Safety, 2021, 39(6): 100-107. doi: 10.3963/j.jssn.1674-4861.2021.06.012
Citation: HE Weitao, WANG Yandong, GONG Yanpeng, ZHAO Jian. An Evaluation Study of Network Optimization through Connecting Dead-end-roads[J]. Journal of Transport Information and Safety, 2021, 39(6): 100-107. doi: 10.3963/j.jssn.1674-4861.2021.06.012

An Evaluation Study of Network Optimization through Connecting Dead-end-roads

doi: 10.3963/j.jssn.1674-4861.2021.06.012
  • Received Date: 2021-06-10
    Available Online: 2022-01-12
  • Dead-end-roads(DERs)are widespread in any city, and their presence can reduce the usage of roads and lead to traffic congestions. However, there are limited quantitative methods to assess the impacts of DERs. A new method is proposed to assess their impacts. At the level of road structure, community detection is used to classify the road network, and analyze the community which greatly affected by responded DERs. At the level of traffic assignment, whether a dead-end-road is opening, two simulations are performed in the community mentioned above. On this basis, the percentage change of the average value in roads' speeds is selected as an evaluation index. Then, this method is varified by a case study of the road network in Chaoyang District, Beijing. The results shows that: ①Under the travel demand of 900 pcu, the mean value of indices is less than 0.6%, indicating that opening DERs in the low-load area cannot bring obvious optimization. ② Under three groups of large travel demand, the mean value of indices of cross-community DERs(3.097%, 1.833%, and 2.633%)are higher than which of intra-community DERs(2.077%, 1.785%, and 2.041%). The opening of cross-community road sections should be given priority in municipal projects.

     

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  • [1]
    刘承良, 余瑞林, 曾菊新, 等. 武汉城市圈城乡道路网的空间结构复杂性[J]. 地理科学, 2012, 32(4): 426-433. https://www.cnki.com.cn/Article/CJFDTOTAL-DLKX201204006.htm

    LIU Chengliang, YU Ruilin, ZENG Juxin, et al. Complexity of spatial structure on the urban-rural road network in Wuhan metropolitan area[J]. Geographic Science, 2012, 32(4): 426-433. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-DLKX201204006.htm
    [2]
    李妙君, 孙全欣, 杨静. 瓶颈路段交通改善实证研究[J]. 交通运输系统工程与信息, 2011, 11(增刊1): 201-207. https://www.cnki.com.cn/Article/CJFDTOTAL-YSXT2011S1030.htm

    LI Miaojun, SUN Quanxin, YANG Jing. Empirical study for improvingthe traffic conditions at bottleneck road sections[J]. Journal of Transportation Systems Engineering and Information Technology, 2011, 11(S1): 201-207. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-YSXT2011S1030.htm
    [3]
    曹虹宇. "断头路"成因及对策分析[J]. 绿色建筑, 2016, 8(4): 89-90. doi: 10.3969/j.issn.1004-1672.2016.04.025

    CAO Hongyu. Cause of"Broken Road"and countermeasure[J]. Green Building, 2016, 8(4): 89-90. (in Chinese) doi: 10.3969/j.issn.1004-1672.2016.04.025
    [4]
    万幼, 刘耀林. 基于地理加权中心节点距离的网络社区发现算法[J]. 武汉大学学报(信息科学版), 2019, 44(10): 1545-1552. https://www.cnki.com.cn/Article/CJFDTOTAL-WHCH201910019.htm

    WAN You, LIU Yaolin. Community detection algorithm based on geographical weighted central node distance[J]. Geomatics and Information Science of Wuhan University, 2019, 44(10): 1545-1552. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-WHCH201910019.htm
    [5]
    钱雪娟. 城市路网结构评价方法探讨[J]. 交通科技与经济, 2007(2): 88-90+93. doi: 10.3969/j.issn.1008-5696.2007.02.034

    QIAN Xuejuan. Discussion on evaluating method of city road networks structure[J]. Technology & Economy in Area of Communications, 2007(2): 88-90+93. (in Chinese) doi: 10.3969/j.issn.1008-5696.2007.02.034
    [6]
    胡松涛, 张克新, 周业利, 等. 烟台老城区交通微循环改善策略[J]. 交通与运输, 2020, 36(5): 96-100. doi: 10.3969/j.issn.1671-3400.2020.05.023

    HU Songtao, ZHANG Kexin, ZHOU Yeli, et al. Traffic microcirculation improvement strategy in Yantai old town[J]. Traffic and Transportation, 2020, 36(5): 96-100. (in Chinese) doi: 10.3969/j.issn.1671-3400.2020.05.023
    [7]
    陈昕, 王媛青, 高令顺. 城市路网中交通盲点开放研究[J]. 辽宁工业大学学报(自然科学版), 2019, 39(2): 91-95+100. https://www.cnki.com.cn/Article/CJFDTOTAL-LNGX201902005.htm

    CHEN Xin, WANG Yuanqing, GAO Lingshun. Research on traffic blind spots opening in urban network[J]. Journal of Liaoning University of Technology(Natural Science Edition), 2019, 39(2): 91-95+100. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-LNGX201902005.htm
    [8]
    MUTHOHAR I, BALIJEPALLI C, PRIYANTO, et al. Analysing vulnerability of road network and guiding evacuees to sheltered areas: Case study of Mt Merapi, Central Java, Indonesia[J]. Case Studies on Transport Policy, 2020, 8(4): 1329-1340. doi: 10.1016/j.cstp.2020.09.004
    [9]
    ZHENG Yu, LIU Yanchi, YUAN Jing. Urban computing with taxicabs[C]. The 13thInternational Conference on Ubiquitous Computing, Being, China: ACM, 2011.
    [10]
    KOZASA T, TSUKAI M, FUJIWARA A. A development of dynamic road network planning model considering step-by-st ep construction of links and facility on nodes[C]. 8th International Conference on Traffic and Transportation Studies(ICTTS), Changsha, China: SESC, 2012.
    [11]
    杜佳昕, 张丰, 杜震洪, 等. 基于加权流量介数中心性的路网脆弱性分析: 以无锡市为例[J]. 浙江大学学报(理学版), 2020, 47(2): 223-230+243. https://www.cnki.com.cn/Article/CJFDTOTAL-HZDX202002013.htm

    DU Jiaxin, ZHANG Feng, DU Zhenhong, et al. Assessing vulnerability of road networks based on traffic flow betweenness centrality: A case study in Wuxi[J]. Journal of Zhejiang University(Science Edition), 2020, 47(2): 223-230+243. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-HZDX202002013.htm
    [12]
    QIANG Yi, XU Jinwen. Empirical assessment of road network resilience in natural hazards using crowdsourced traffic data[J]. International Journal of Geographical Information Science, 2020, 34(12): 2434-2450. doi: 10.1080/13658816.2019.1694681
    [13]
    SUGISHITA K, ASAKURA Y. Citation network analysis of vulnerability studies in the fields of transportation and complex networks[J]. Transportation Research Procedia, 2020(47): 369-372. http://www.sciencedirect.com/science/article/pii/S2352146520303082
    [14]
    CHEN Haiwen, HU Yucong. Finding community structure and evaluating hub road section in urban traffic network[C]. 13th COTA International Conference of Transportation Professionals(CICTP), Shenzhen, China: COTA, 2013.
    [15]
    郑黎黎, 杨帆, 孙宝凤, 等. 基于GN算法的城市路网区域划分方法研究[J]. 重庆交通大学学报(自然科学版), 2020, 39(4): 6-10+22. https://www.cnki.com.cn/Article/CJFDTOTAL-CQJT202004002.htm

    ZHENG Lili, YANG Fan, SUN Baofen, et al. Urban road network regionalization based on gn algorithm[J]. Jounal of Chongqing Jiaotong University(Nature Science), 2020, 39(4): 6-10+22. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-CQJT202004002.htm
    [16]
    于晓桦, 晏克非, 牟振华, 等. 基于多级网络的多模式交通配流研究[J]. 交通信息与安全, 2018, 36(1): 103-110+128. doi: 10.3963/j.issn.1674-4861.2018.01.014

    YU Xiaohua, YAN Kefei, MOU Zhenhua, et al. A study of multimodal traffic assignment based on multi-level network[J]. Journal of Transport Information and Safety, 2018, 36(1): 103-110+128. (in Chinese) doi: 10.3963/j.issn.1674-4861.2018.01.014
    [17]
    TONG Xiaohua, LIANG Dan, JIN Yanmin. A linear road object matching method for conflation based on optimization and logistic regression[J]. International Journal of Geographical Information Science, 2014, 28(4): 824-846. doi: 10.1080/13658816.2013.876501
    [18]
    田杭, 郭瑞军. 基于网络负载容量模型的城市路网级联失效研究[J]. 大连交通大学学报, 2019, 40(6): 15-20. https://www.cnki.com.cn/Article/CJFDTOTAL-DLTD201906003.htm

    TIAN Han, GUO Ruijun. Study of urban road network cascading failure based on network load capacity model[J]. Journal of Dalian Jiaotong University, 2019, 40(6): 15-20. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-DLTD201906003.htm
    [19]
    SOHOUENOU P Y R, CHRISTIDIS P, CHRISTODOULOU A. Using a random road graph model to understand road networks robustness to link failures[J]. International Journal of Critical Infrastructure Protection, 2020(29): 4-10. http://www.sciencedirect.com/science/article/pii/S1874548220300172
    [20]
    LENG Junqiang, ZHAI Jing, LI Qianwen, et al. Construction of road network vulnerability evaluation index based on general travel cost[J]. Physica A: Statistical Mechanics and its Applications, 2018(493): 421-429. https://www.sciencedirect.com/science/article/abs/pii/S0378437117310907
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