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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.
  • Format:
    PDF
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  • File Type:
    Filetype[PDF - 1.45 MB]
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  • Main Document Checksum:
    urn:sha-512:95596fb171c1b8ccea648efa9dd16db560568ef9f099406e3ba2360b5d34e148b246bb9d70d203272431f4ef5bec8663d06e5d7093b6118f3cc7e01c6d6d1b36
File Language:
English
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