Explore traffic conflict risks considering motion constraint degree in the diverging area of toll plazas

Xing, Lu; Liu, Yu; Zheng, Ou; Abdel-Aty, Mohamed

doi:10.1016/j.aap.2023.107011

Cited by 7 publications

(2 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Vehicles need to complete the diversion and select their matching toll collection lanes within a limited distance. Complex distribution of toll collection lanes and speed difference of ETC and MTC vehicles result in the diverging area becoming a hot spot of frequent crossing behaviors and rapid decelerations [3][4][5][6]. These aggressive driving behaviors caused a large number of conflicts [2,7].…”

Section: Introductionmentioning

confidence: 99%

“…Although several studies have assessed toll plaza conflict risks based on trajectory data [2,5,7], they do not consider the conflict characteristics and influencing mechanism between vehicles with different toll collection types. Unlike driving on road segments, vehicles are additionally grouped with their toll collection types at toll plaza diverging areas that they need to drive to their matching toll booths.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Safety Evaluation of Toll Plaza Diverging Area Considering Different Vehicles’ Toll Collection Types

et al. 2023

Self Cite

View full text Add to dashboard Cite

Different toll collection types of vehicles and different distribution of tollbooths lead to the toll plaza diverging area becoming a typical vehicle weaving area with frequent crossing behaviors and conflicts on highways. This study aims to identify contributing factors to conflict risks of four RP by developing random parameters ordered logit models with heterogeneity in means and variances. The model can flexibly capture the unobserved heterogeneity of the contributing factors in different vehicle-following patterns. Real-world vehicle trajectory data obtained from the toll plaza diverging area in Nanjing, China, are used for model estimation. The results show that vehicle-following patterns with the same toll collection types have a higher percentage of severe conflict risks. The average acceleration of the following vehicles, lane-marking indicator, the initial lanes and lane changes of vehicles are significantly associated with the collision risk levels. The standard deviation of surrogate safety measures of all vehicles in sub-segments are found to differ significantly between vehicle-following patterns. Furthermore, a series of likelihood ratio tests are adopted to test the spatial dependence in sub-segments of the diverging area. The findings of this study could provide valuable information for safety improvement in toll plazas.

show abstract