Analysis and Evaluation Method for Traffic State of
Urban Regional Road Network

doi:10.3969/j.issn.1674-0696.2017.12.15

Abstract

Abstract: In order to improve the accuracy of the traffic state discrimination of the regional road network，the difference of the impact of different sections and intersections on the whole traffic running condition of road network should be considered. The traffic state models of sections and intersections were established through building a road network structural model. According to the topology relationship between the sections of the road network，a traffic state matrix was established，which can be used to represent the temporal and spatial information of road network. Considering the importance of road network elements in the road level and their influence，the weight coefficient models of the road section and intersection were established. On this basis，a comprehensive discrimination model was established to reflect the traffic status index of the regional road network，and the traffic state levels of the road network were determined. Through the simulation of regional road network，the traffic state of road network was analyzed with the average travel speed as evaluation index. The results show that the proposed method is practical and effective for the discrimination of regional traffic congestion state.

Key words: traffic engineering, regional road network, traffic state identification, road network state model, road network weight model, traffic congestion

摘要： 为提高区域路网交通状态判别的准确性，需要考虑不同路段、交叉口对路网交通整体运行状态影响作用的差异性。通过构建路网结构模型，建立路段和交叉口的交通状态模型，根据路网中各路段间拓扑结构关系，建立路网交通状态矩阵，用它来表示路网时空状态信息；考虑路网元素在路网中的道路等级以及影响作用的重要程度，建立路段和交叉口的权重系数模型。在此基础上建立反映区域路网交通状态指数的综合判别模型，确定路网交通状态级别。通过对区域路网的仿真，以平均行程速度为评价指标对路网交通状态进行分析，结果表明了该方法对区域交通拥堵状态判别的实用性和有效性。

关键词: 交通工程, 区域路网, 交通状态判别, 路网状态模型, 路网权重模型, 交通拥堵

CLC Number:

U491

HUANG Yanguo1，SONG Ermeng1，ZHONG Jianxin2. Analysis and Evaluation Method for Traffic State of Urban Regional Road Network[J]. Journal of Chongqing Jiaotong University(Natural Science), 2017, 36(12): 91-96.

黄艳国1，宋二猛1，钟建新2. 城市区域路网交通状态分析与评价方法[J]. 重庆交通大学学报（自然科学版）, 2017, 36(12): 91-96.

References

［1］ GEROLIMINIS N， DAGANZO C F. Existence of urban-scale macroscopic fundamental diagrams：some experimental findings［J］.
Transportation Research Part B：Methodological，2008，42(9)：759-770.
［2］祁宏生，王殿海，徐程.基于合理路径的拥挤路网交通状态分析方法［J］.西南交通大学学报，2011，46(1)：175-181.
QI Hongsheng，WANG Dianhai，XU Cheng. Method for congested traffic network state analysis based on reasonable routes［J］. Journal of
Southwest Jiaotong University，2011，46(1)：175-181.
［3］ KERNER B S，DEMIR C，HERRTWICH R G，et al. Traffic state detection with floating car data in road networks［C］//Proceedings of
the 8th International IEEE Conference on Intelligent Transportation Systems. Vienna：Austria，2005：700-705.
［4］何兆成，周亚强，余志.基于数据可视化的区域交通状态特征评价方法［J］.交通运输工程学报，2016，16(1)：133-140.
HE Zhaocheng，ZHOU Yaqiang，YU Zhi. Regional traffic evaluation method based on data visualization［J］. Journal of Traffic and
Transportation Engineering，2016，16(1)：133-140.
［5］陈兆盟，刘小明，吴文祥，等.结合信号控制的交通状态及其真实性判别方法［J］.重庆交通大学学报(自然科学版)，2016，35(6)：95-100.
CHEN Zhaomeng，LIU Xiaoming，WU Wenxiang，et al. Identification method of traffic state and its authenticity combined with signal
control［J］. Journal of Chongqing Jiaotong University(Natural Science)，2016，35(6)：95-100.
［6］郭伟，姚丹亚，付毅，等.区域交通流特征提取与交通状态评估方法研究［J］.公路交通科技，2005，22(7)：101-104.
GUO Wei，YAO Danya，FU Yi，et al. Study on the method for regional traffic flow feature extraction and traffic status evaluation［J］.
Journal of Highway and Transportation Research and Development，2005，22(7)：101-104.
［7］任江涛，欧晓凌，张毅，等.交通状态模式识别研究［J］.公路交通科技，2003，20(2)：63-67.
REN Jiangtao，OU Xiaoling，ZHANG Yi，et al. Pattern recognition of traffic states［J］. Journal of Highway and Transportation
Research
and Development，2003，20(2)：63-67.
［8］钱喆，徐建闽.基于线圈检测的过饱和交通状态判别［J］. 华南理工大学学报 (自然科学版)，2013，41(8)：93-98.
QIAN Zhe，XU Jianmin. Identification of oversaturated traffic conditions based on loop detection［J］. Journal of South China
University of Technology(Natural Science Edition)，2013，41(8)：93-98.
［9］ STATHOPPULOS A，KARLAFTIS M G. A multivariate state space approach for urban traffic flow modeling and prediction［J］.
Transportation Research Part C：Emerging Technologies，2003，11(2)：121-135.
［10］王殿海，陈松，魏强，等.基于二流理论的路网宏观交通状态判断模型［J］.东南大学学报(自然科学版)，2011，41(5)：1098-1103.
WANG Dianhai，CHEN Song，WEI Qiang，et al. Discrimination model for macroscopic traffic conditions of urban networks using two-
fluid
theory［J］. Journal of Southeast University(Natural Science Edition)，2011，41(5)：1098-1103.
［11］张和生，张毅，胡东成.一种区域交通状态定量分析方法［J］.吉林大学学报(工学版)，2009，39(2)：336-342.
ZHANG Hesheng，ZHANG Yi，HU Dongcheng. Quantitative approach for regional traffic state analysis［J］. Journal of Jilin University
(Engineering and Technology Edition)，2009，39(2)：336-342.
［12］瞿莉，胡坚明，张毅.一种基于路网分配系数矩阵的网络交通状态建模方法［J］.清华大学学报(自然科学版)，2011，51(1)：1-6.
QU Li，HU Jianming，ZHANG Yi. Modeling network-level traffic status based on the network distribution coefficient matrix［J］.
Journal
of Tsinghua University(Science and Technology)，2011，51(1)：1-6.
［13］王伟，杨兆升，李贻武，等.基于信息协同的子区交通状态加权计算与判别方法［J］.吉林大学学报(工学版)，2007，37(3)：524-527.
WANG Wei，YANG Zhaosheng，LI Yiwu，et al. Weighting calculation and judging method of regional traffic state based on information
coordination［J］. Journal of Jilin University(Engineering and Technology Edition)，2007，37(3)：524-527.
［14］曲昭伟，魏强，别一鸣，等.基于固定检测器的区域交通状态判别方法［J］.中南大学学报(自然科学版)，2013，44(1)：403-410.
QU Zhaowei，WEI Qiang，BIE Yiming，et al. Method for traffic state identification based on fixed detector［J］. Journal of Central
South University(Science and Technology Edition)，2013，44(1)：403-410.
［15］黄艳国，许伦辉，邝先验.基于模糊C均值聚类的城市道路交通状态判别［J］.重庆交通大学学报(自然科学版)，2015，34(2)：102-107.
HUANG Yanguo，XU Lunhui，KUANG Xianyan. Urban road traffic state identification based on fuzzy C-mean clustering［J］. Journal of
Chongqing Jiaotong University(Natural Science)，2015，34(2)：102-107.

[1]	TANG Jiqiang1,2, ZHONG Xinwei2, LIU Jian1, LI Tianrui3. Short Term Forecast of Rail Transit Passenger Flow Based on Time Series Seasonal Classification Model [J]. Journal of Chongqing Jiaotong University(Natural Science), 2021, 40(07): 31-38.
[2]	QI Chunhua, WANG Xiaonan, ZHU Shoulin, LI Hangtian. Traffic Engineering Facility Information Threshold Based on Drivers Visual Area of Interest [J]. Journal of Chongqing Jiaotong University(Natural Science), 2021, 40(07): 53-60.
[3]	DENG Tianmin1, ZHU Jie2, ZHU Kaijia1, QU Zhihua3. Driving Style Recognition Method Based on iForest and Bisecting K-means Combined Algorithm [J]. Journal of Chongqing Jiaotong University(Natural Science), 2021, 40(06): 1-6.
[4]	XU Maozeng, ZHANG Li. Identification of Road Section Congestion Influence Based on Bijective Soft Decision Theory [J]. Journal of Chongqing Jiaotong University(Natural Science), 2021, 40(06): 7-11.
[5]	WANG Tao1, XIE Sihong1, LI Wenhao1,2, LI Wenyong1. Short-Term Traffic Flow Adaptive Prediction Model Based on FFOS-ELM and PF [J]. Journal of Chongqing Jiaotong University(Natural Science), 2021, 40(06): 21-27.
[6]	ZHANG Cheng1, WANG Chengyin1, CHEN Zhiwei2, ZHANG Zhengxiang3, ZHANG Zilei3. Mining Method of Key Nodes of Urban Road Network Based on Spatial-Flow Degree [J]. Journal of Chongqing Jiaotong University(Natural Science), 2021, 40(06): 28-35.
[7]	WANG Yonggang, ZHANG Heng, PENG Zhipeng, ZHOU Wanqi. Analysis of Influencing Factors of Taxi Accidents Based on Structural Equation Model [J]. Journal of Chongqing Jiaotong University(Natural Science), 2021, 40(06): 36-42.
[8]	ZHU Shunyin, LI Weiji, LIN Xiaoyuan, XIAO Wenbin, WANG Hong. Setting No Re-inspection Control Point for Tourist Vehicles in Characteristic Towns [J]. Journal of Chongqing Jiaotong University(Natural Science), 2021, 40(06): 52-58.
[9]	PAN Binghong1,2, HU Wei1, REN Hui1, SHAN Huimin1. Truck Side-Slip Velocity Model in Curve Road Section Based on TruckSim Simulation [J]. Journal of Chongqing Jiaotong University(Natural Science), 2021, 40(05): 38-45.
[10]	WU Wenjing, SUN Renchao, ZONG Fang, JIA Hongfei. Subjective Attitude Identification and Impact Analysis of Residents Low-Carbon Commuting Travel [J]. Journal of Chongqing Jiaotong University(Natural Science), 2021, 40(05): 53-58.
[11]	LI Jun, DENG Yuxin. Cluster Analysis of Taxi Spatiotemporal Behavior Based on Non-negative Matrix Factorization [J]. Journal of Chongqing Jiaotong University(Natural Science), 2021, 40(05): 59-65.
[12]	CHENG Wei1, LIU Xiang1, LEI Jianming2. Optimization of Cycle Length of Intersection Signal Based on RBF Neural Network Prediction [J]. Journal of Chongqing Jiaotong University(Natural Science), 2021, 40(04): 13-18.
[13]	SHI Tianliang, WANG Wenguang. Information View and Particle Swarm Optimization Algorithm in Urban Traffic Congestion [J]. Journal of Chongqing Jiaotong University(Natural Science), 2021, 40(04): 19-25.
[14]	HE Yulong1, 2, LIU Lei1,2, CHI Jiaxin1,2. Risk of Vehicle Lane Change Behavior on Highway [J]. Journal of Chongqing Jiaotong University(Natural Science), 2021, 40(04): 26-33.
[15]	WANG Lu1, CHEN Xiaoxin2, LI Huaen1. Critical Speed of Vehicles Running Stably on Expressway in the Weather of Rain and Snow under Strong Wind [J]. Journal of Chongqing Jiaotong University(Natural Science), 2021, 40(04): 34-40.

Analysis and Evaluation Method for Traffic State of Urban Regional Road Network

城市区域路网交通状态分析与评价方法

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics