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Modeling and analyzing the impact of advanced technologies on livability and multimodal transportation performance measures in arterial corridors : phase 2.

File Language:
English


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  • Alternative Title:
    Modeling and analyzing the impact of advanced technologies on livability in ; arterial corridors 2nd phase: focus on pedestrian safety
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  • Edition:
    Final report
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  • Abstract:
    Transportation corridors are complex systems. Tradeoffs, particularly in terms of traffic mobility, transit performance, accessibility and pedestrian

    interactions, are not well understood. When the focus is on motorized vehicle mobility and throughput, high traffic or vehicle speeds are desirable

    because at high speeds more vehicles can flow per unit of time and roadway section. However, high traffic/vehicles speeds are not desirable for

    pedestrians who have to cross urban arterials. In particular, pedestrians can be highly vulnerable at unsignalized, marked crosswalks where

    pedestrians have the right of way but where drivers’ yield rates are significantly lower than at signalized intersections. Pedestrians are the most

    vulnerable road users, and safe and comfortable crosswalks are essential to ensure that pedestrian travel becomes an appealing alternative.

    Since pedestrians are particularly vulnerable when drivers do not yield at crosswalks, the focus of this research is to understand the factors that are

    associated with low yield rates or crosswalk law non-compliance. In this context, the goal of this research is to study the traffic speed and vehicle

    trajectory factors that affect crosswalk law compliance and stopping distance from the crosswalk. The results of this research provide new insights

    into the relationships between traffic conditions, vehicle trajectory and compliance rates. Results indicate that vehicle origin, vehicle type,

    stopping at upstream traffic lights, and changes in vehicle speed and headways are key factors to predict pedestrian crosswalk law compliance and

    stopping behavior; changes in vehicle speed and headways have the highest explanatory power.

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    urn:sha-512:95596fb171c1b8ccea648efa9dd16db560568ef9f099406e3ba2360b5d34e148b246bb9d70d203272431f4ef5bec8663d06e5d7093b6118f3cc7e01c6d6d1b36
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  • File Type:
    Filetype[PDF - 1.45 MB ]
File Language:
English
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