Travel time estimation in urban traffic environments
Date
2008
Authors
Zhang, K.
Lin, H.E.
Taylor, M.A.P.
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Source details - Title: New transportation research progress, 2008, pp.181-210
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Abstract
The increased availability of traveller information and onboard navigation systems isdramatically changing characteristics of urban traffic and the way of managing them.Travel time information, which is a crucial element of traveller information systems, canhelp individual travellers to minimize their travel costs through pre-trip scheduling anden-route dynamic route choice. Meanwhile, it provides traffic managers with spatialtraffic information which helps them to choose appropriate traffic management strategiespromptly to improve the efficiency and safety of urban traffic networks. Due to thecomplex nature of urban arterial road traffic, to achieve reliable travel time estimation inurban traffic environment remains a challenge.Effectively managing platoons using traffic signals has played a central role in urbantraffic management. This fact indicates a strong influence of traffic signals on arterialroad travel time. We found that traffic signal settings even dictate arterial road travel timeunder certain traffic conditions. In our newly proposed arterial road travel time estimationmodel, detailed and dynamic traffic signal settings are directly incorporated into thetravel time estimation process. We use both real time travel demands extracted fromtraffic measurements routinely collected at each signalised intersection and most currenttraffic signal settings along the arterial road as model inputs. As the results of each traveltime estimation, a traveller can obtain the individual travel time required to complete thejourney through the arterial road, which is based on his/her entering time. Such detailedreal time travel time estimates can be further processed and aggregated to meet differentneeds and objectives of urban traffic management and logistic operations. Themicroscopic traffic simulation studies have been carried out to test the travel timeestimation model on a real arterial road in Adelaide, Australia. The preliminary resultsare very encouraging and we are currently expanding the scope of this research. © 2008 by Nova Science Publishers, Inc. All rights reserved.
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