The Short-Term Prediction of Link Travel Times in Signal Controlled Road Networks (original) (raw)
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Comparison of prediction methods for urban network link travel times
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Traffic congestion is becoming a serious environmental threat that must be resolved quickly. The mobile travel information system developed at The Nottingham Trent University enables the integration of data concerning traffic flows and individual journey plans thus making it possible to perform optimisation of travel. This paper focuses on the issue of provision of real-time information about urban travel and assistance with planning travel. Nottingham's SCOOT (split cycle offset optimisation technique) traffic-light control system provides real-time information about the link travel times within certain areas of the city. However, rather than using link travel times at the time of the request, it is more effective to predict the link travel times for the time of travel along the particular links. The future link travel times depend upon the historical travel time of the link (for the specific time step in the day) as well as the current link travel time. Consequently, the link ...
Travel time prediction for urban networks is an important issue in Advanced Traveler Information Systems (ATIS) since drivers can make individual decisions, choose the shortest route, avoid congestions and improve network efficiency based on the predicted travel time information. In this research, two algorithms are proposed to estimate and predict travel time for urban networks, the simulation-based and time-series models. The simulation-based model, DynaTAIWAN, designed and developed for mixed traffic flows, is adopted to simulate the traffic flow patterns. The Autoregressive Integrated Moving Average (ARIMA) model, calibrated with vehicle detector (VD) data, is integrated with signal delay to predict travel time for arterial streets. In the numerical analysis, an arterial street in Kaohsiung city in Taiwan is conducted to illustrate these two models. The empirical and historical data are used to predict and analyze travel time, including: travel time data from survey and historic...
Prediction of link travel times in the context of Nottingham’s urban road network
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Abstract: Traffic congestion is becoming a serious environmental threat that must be resolved quickly. Traditionally, travel information systems have been specific to a particular mode of transport. For instance, traffic information (road conditions broadcast) has been directed at drivers. Instead, travel information systems are now being developed which incorporate route guidance systems to divert drivers away from the congested areas either by change of travel mode or travel route. The mobile travel information system developed at The Nottingham Trent University enables progression from a passive mode of interaction between traffic control systems and road-users (one-way flow of information) to an active mode. The integration of data concerning traffic flows and individual journey plans thus makes it possible to perform optimisation of travel. This paper focuses on the issue of provision of real-time information about urban travel and assistance with planning travel. Nottingham’s ...
Combined Models for Signal Control and Route Assignment in Urban Traffic Networks
J. Society of Instrument and Control Engineers (SICE) of Japan., 2002
Intelligent Transportation Systems (ITS) are being developed to provide real-time control and route guidance to motorists to optimize the urban traffic network performance. The two primary components of such systems consist of a Dynamic Traffic Assignment (DTA) model to predict future traffic conditions and a Real-Time Traffic Adaptive Control System (RT-TRACS) for the generation of signal control strategies. This paper addresses the problem of how to combine these models into an integrated system. The proposed approaches consist of an integration of the different levels of the RT-TRACS hierarchy with the predictive ability of dynamic traffic assignment. The approaches are sufficiently practical so that they can be implemented in an urban area with existing centralized traffic control equipment and operating software.