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Titel:

A tool for long-term predictions of road safety based on travel demand modeling and network characteristics

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Llorca, Carlos; Moreno, Ana Tsui; Moeckel, Rolf
Abstract:
Road safety is one of the major issues regarding transportation and public health. The knowledge of the number of crashes and their spatial and temporal distribution is relevant to develop countermeasures and assess their costs and benefits. However, the prediction of crashes on entire networks requires of the availability of travel demand data on every road. Generally, it is needed to extrapolate traffic counts or travel surveys to the entire network. In this paper, crash prediction models are...     »
Kongresstitel:
Transportation Research Procedia Volume 41, 414-425 2019-11
Kongress / Zusatzinformationen:
mobilTUM 2018
Zeitschriftentitel:
Transportation Research Procedia Volume 41,414-425 2019-11
Jahr:
2019
Jahr / Monat:
2019-11
Quartal:
4. Quartal
Monat:
Nov
Reviewed:
ja
Sprache:
en
Volltext / DOI:
doi:https://doi.org/10.1016/j.trpro.2019.09.069
WWW:
https://www.sciencedirect.com/science/article/pii/S2352146519304855
Verlag / Institution:
Elsevier B.V.
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