نتایج جستجو برای: driver modeling
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In this paper, we propose a framework to develop an M2M-based (machine-to-machine) proactive driver assistance system. Unlike traditional approaches, we take the benefits of M2M in intelligent transportation system (ITS): 1) expansion of sensor coverage, 2) increase of time allowed to react, and 3) mediation of bidding for right of way, to help driver avoiding potential traffic accidents. To de...
Freight trucks are an important component of the nation s highway traffic. Due to their physical and operational characteristics, they can significantly impact traffic system performance, safety, and the travel experience of non-truck drivers. Methodological gaps exist in the literature on modeling car–truck interactions that do not result in crashes, especially those resulting from non-truck d...
For modeling a driver's behavior in route selection in outdoor situations we have two problems: 1-real situation is very often not crisp and deterministic and cannot be described precisely, 2-the complete description of driver's behavior in route selection often require much more detailed data than driver could ever recognize process, and understand simultaneously. In this paper we have designe...
Modern safety systems are transforming vehicles from human-controlled passive devices into human-centric intelligent/ active systems. There is a wide range of systems from fully autonomous vehicles to humanaugmented control devices which have emerged in this field. In current trends, co-operative active systems have the driver in the decision and control processes are favored for their ‘human-c...
As a part of the ongoing IVHS Systems Architecture effort sponsored by FHWA, contractor teams are using traffic and communication simulations in an effort to quantify impacts of implementing their proposed architectures. One aspect of this modeling effort has been the application and modification of a macro-level traffic simulation, INTEGRATION, to capture the effects of proposed evaluatory des...
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