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Research on the Reasons for Route Deviation at F‐Shaped Intersections Based on Navigation Operation Data

Kaicheng Xu et al.

Journal of Advanced Transportation2026https://doi.org/10.1155/atr/5545484article
ABDC B
Weight
0.50

Abstract

Driver deviations from planned routes during navigation threaten road safety and reduce traffic efficiency, with F‐shaped intersections emerging as a high‐risk scenario. This study investigates deviation causes using real‐world navigation operation data and hourly aggregated observations. A generalized structural equation model (SEM) with a zero‐inflated negative binomial link is applied to disentangle direct effects of external conditions and indirect effects mediated by traffic flow and congestion. Key findings include the following: exit/entrance roads ( β = 0.135, p < 0.001) and road type ( β = 0.100, p < 0.001) exert the strongest direct effects on deviations, while traffic congestion mediates 12% of the indirect effect of weather conditions on deviations. An actionable design takeaway is that extending advance signage on high‐risk segments reduces deviations by 18% [−14%, −22%] at median traffic flow, providing targeted technical support for F‐shaped intersection optimization to improve road safety and traffic efficiency.

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https://doi.org/https://doi.org/10.1155/atr/5545484

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@article{kaicheng2026,
  title        = {{Research on the Reasons for Route Deviation at F‐Shaped Intersections Based on Navigation Operation Data}},
  author       = {Kaicheng Xu et al.},
  journal      = {Journal of Advanced Transportation},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1155/atr/5545484},
}

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Research on the Reasons for Route Deviation at F‐Shaped Intersections Based on Navigation Operation Data

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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