Pedestrians are the most vulnerable roadway user. While there is much emphasis on “green transportation,” a troubling fact emerges in the U.S.A.: pedestrian deaths are increasing significantly in comparison to motorist deaths, reaching nearly 6941 in 2020—the highest in over two decades. The Pedestrian and Bicycle Crash Analysis Tool was developed to determine motorists and non-motorists’ actions before a crash to accurately define the sequence of events and precipitating actions leading to traffic crashes between motor vehicles and pedestrians or bicyclists. Police report traffic crash data and crash narrative reports undoubtedly play a major role in decision-making for the safety engineers. Using crash data from three major cities in Texas (2018–2020), this study assessed the data quality of text narratives in police reports of pedestrian crashes. The objective of this study was to develop a framework for applying advanced language models to classify pedestrian maneuver types from unstructured textual content. The results show that although natural language processing models are promising as crash typing tools, narration inconsistency, data imbalance, and small sample sizes are holding back progress in this area. The framework demonstrated high accuracy for the binary classification task, but it was inconsistent for the more complex multiclass task. This framework provides the basis for applying advanced language models such as the bidirectional encoder representations from transformers model in identifying pedestrian maneuver types associated with pedestrian crashes.


    Access

    Download

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Classifying Pedestrian Maneuver Types Using the Advanced Language Model


    Additional title:

    Transportation Research Record: Journal of the Transportation Research Board


    Contributors:


    Publication date :

    2023-03-03




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Maneuver decision for active pedestrian protection under uncertainty

    Braeuchle, Christian / Flehmig, Folko / Rosenstiel, Wolfgang et al. | IEEE | 2013


    Calculation Model of Shooting Advanced Point Considering Target’s Maneuver

    Han, Cheng / Bing, Fu / Weiyi, Chen et al. | Springer Verlag | 2021


    Calculation Model of Shooting Advanced Point Considering Target’s Maneuver

    Han, Cheng / Bing, Fu / Weiyi, Chen et al. | TIBKAT | 2022


    ADAPTIVE KNOB CONTROL BASED UPON TRAILER MANEUVER TYPES

    HERZOG BRANDON / DIESSNER DANIEL | European Patent Office | 2024

    Free access

    Applying Few-Shot Learning in Classifying Pedestrian Crash Typing

    Weng, Yanmo / Das, Subasish / Paal, Stephanie German | Transportation Research Record | 2023