Expressway Network Model Construction and Road Section Impedance Estimation Based on Mixed Data
DOI:
https://doi.org/10.54097/vapav063Keywords:
Traffic Network; Toll Station; Vehicle Speed Estimation; Topology Model.Abstract
The acquisition of high-speed road network information and traffic environment information is of great significance for traffic management and planning, and at the same time, an accurate and efficient road network model is also the basis for the acquisition and application of traffic parameters. In order to quickly obtain high-speed road network information and road section traffic state information, this paper takes Chongqing Highway as an example, analyzes the traffic condition and characteristics of the highway network, and establishes the topology of the high-speed road network using network data and actual high-speed toll data from the graph theory and complex network theory. At the same time, based on the topology theory, fully exploiting the high-speed toll data, a more accurate estimate of different time periods, vehicles in the high-speed road section of the travel time, for highway traffic analysis to provide data reference, to improve the traffic planning program to enhance the efficiency of traffic management, to promote traffic planning and decision-making, as well as to enrich the theoretical basis of transportation research is of great significance.
Downloads
References
[1] SONG Jingyan, ZHANG Yi, DU Haining, et al. Road network model and data processing in highway toll collection[J]. Highway Transportation Science and Technology, 2001(5): 51-54, 63.
[2] X.Q. Zhang, M. Huang, H.L. Zhang, et al. A basic highway network model for traffic safety control and its application[J]. Journal of Sun Yat-sen University (Natural Science Edition), 2016, 55(6): 92-96, 102.
[3] Chen Yuren, Chen Shaojun. Complex topology of highway networks containing interchange ramp information[J]. Journal of Tongji University (Natural Science Edition), 2010, 38(2): 230-237.
[4] Hu Qizhou, Sun Xu. Traffic congestion monitoring model of urban road network based on multidimensional linkage number[J]. China Highway Journal, 2013, 26(6): 143-149.
[5] Lee S-H, Lee B-W, Yang Y-K. Estimation of Link Speed Using Pattern Classification of GPS Probe Car Data[A]. M.L. Gavrilova, O. Gervasi, V. Kumar, et al. Computational Science and Its Applications - ICCSA 2006[C]. Berlin, Heidelberg: Springer, 2006: 495-504.
[6] S.C. He, R.K. Lu, P.L. Nie. Estimation of average speed between highway zones based on floating vehicle positioning data[J]. Highway Transportation Technology, 2011, 28(6): 128-135.
[7] TANG Keshuang, MEI Yu, LI Keping. Simulation evaluation of traffic state estimation accuracy based on floating vehicle data[J]. Journal of Tongji University (Natural Science Edition), 2014, 42(9): 1347-1351, 1407.
[8] Zhao L, Song Y, Zhang C, et al. T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction[J]. IEEE Transactions on Intelligent Transportation Systems, 2020, 21(9): 3848-3858.
[9] Liu Q, Wang B, Zhu Y. Short-Term Traffic Speed Forecasting Based on Attention Convolutional Neural Network for Arterials[J]. Computer-Aided Civil and Infrastructure Engineering, 2018, 33(11): 999-1016.
[10] Xiao Qingyu. Research on highway toll path recognition method based on networked toll data [D]. Beijing Jiaotong University, 2021.
[11] Ji-En Zhang. Study on differentiated tolling of competitive highways considering travel characteristics [D]. Chongqing Jiaotong University, 2024.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Academic Journal of Science and Technology
This work is licensed under a Creative Commons Attribution 4.0 International License.