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An MFD Construction Method Considering Multi-Source Data Reliability for Urban Road Networks

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  • Rongrong Hong

    (School of Traffic &Transportation Engineering, Xinjiang University, Hua Rui Street #777, Urumqi 830017, China)

  • Huan Liu

    (Intelligent Transportation System Research Center, Southeast University, Southeast University Road #2, Nanjing 211189, China)

  • Chengchuan An

    (Intelligent Transportation System Research Center, Southeast University, Southeast University Road #2, Nanjing 211189, China)

  • Bing Wang

    (School of Traffic &Transportation Engineering, Xinjiang University, Hua Rui Street #777, Urumqi 830017, China)

  • Zhenbo Lu

    (Intelligent Transportation System Research Center, Southeast University, Southeast University Road #2, Nanjing 211189, China)

  • Jingxin Xia

    (Intelligent Transportation System Research Center, Southeast University, Southeast University Road #2, Nanjing 211189, China)

Abstract

Road network traffic management and control are the key mechanisms to alleviate urban traffic congestion. With this study, we aimed to characterize the traffic flow state of urban road networks using the Macroscopic Fundamental Diagram (MFD) to support area traffic control. The core property of an MFD is that the network flow is maximized when network traffic stays at an optimal accumulation state. The property can be used to optimize the temporal and spatial distribution of traffic flow with applications such as gating control. MFD construction is the basis of these MFD-based applications. Although many studies have been conducted to construct MFDs, few studies are dedicated to improving the accuracy considering the reliability of different sources of data. To this end, we propose an MFD construction method using multi-source data based on Dempster–Shafer evidence (DS evidence) theory considering the reliability of different data sources. First, the MFD was constructed using VTD and CSD, separately. Then, the fused MFD was derived by quantifying the reliability of different sources of data for each MFD parameter based on DS evidence theory. The results under real data and simulated data show that the accuracy of the constructed MFDs was greatly improved considering the reliability of different data sources (the maximum MFD estimation error was reduced by 22.3%). The proposed method has the potential to support the evaluation of traffic operations and the optimization of signal control schemes for urban traffic networks.

Suggested Citation

  • Rongrong Hong & Huan Liu & Chengchuan An & Bing Wang & Zhenbo Lu & Jingxin Xia, 2022. "An MFD Construction Method Considering Multi-Source Data Reliability for Urban Road Networks," Sustainability, MDPI, vol. 14(10), pages 1-24, May.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:10:p:6188-:d:819285
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    References listed on IDEAS

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    1. Geroliminis, Nikolas & Daganzo, Carlos F., 2008. "Existence of urban-scale macroscopic fundamental diagrams: Some experimental findings," Transportation Research Part B: Methodological, Elsevier, vol. 42(9), pages 759-770, November.
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    1. Xu, Guanhao & Gayah, Vikash V., 2023. "Non-unimodal and non-concave relationships in the network Macroscopic Fundamental Diagram caused by hierarchical streets," Transportation Research Part B: Methodological, Elsevier, vol. 173(C), pages 203-227.

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