One of the major requirements advanced traveler information systems (ATISs) is a mechanism to estimate link travel times. This article examines use an artificial neural network (ANN) for predicting freeway times one through five time periods into future. Actual from Houston, Texas, that were collected as part automatic vehicle identification (AVI) system used test bed. It was found when or two future, ANN model only considered previous target gave best results. However, three employed...

This paper examines how real-time information gathered as part of intelligent transportation systems can be used to predict link travel times for one through five time periods ahead (of 5-min duration). The study employed a spectral basis artificial neural network (SNN) that utilizes sinusoidal transformation technique increase the linear separability input features. Link from Houston had been collected automatic vehicle identification system TranStar were test bed. It was found SNN...

With the advent of route guidance systems (RGS), prediction short-term link travel times has become increasingly important. For RGS to be successful, calculated routes should based on not only historical and real-time time information but also anticipatory information. An examination is conducted how realtime gathered as part intelligent transportation can used predict for one through five periods (of 5 minutes’ duration). The methodology developed consists two steps. First, are classified...

A major component of ATIS is travel time information. The provision timely and accurate transit information important because it attracts additional ridership increases the satisfaction users. objectives this research are to develop apply a model predict bus arrival using automatic vehicle location (AVL) data. In research, prediction considered schedule adherence dwell times. Actual AVL data from route located in Houston, Texas was used as test bed. historical based model, regression models,...

The ability to predict traffic variables such as speed, travel time or flow, based on real data and historic data, collected by various systems in transportation networks, is vital the intelligent (ITS) components in-vehicle route guidance (RGS), advanced traveler information (ATIS), management (ATMS). In contest of prediction methodologies, different series, artificial neural networks (ANN) models have been developed addition approach. present paper proposes application a recently pattern...

A vast majority of urban transportation systems in North America are equipped with traffic surveillance that provide real time information to management centers. The from these processed and provided back the travelers time. However, interested know not only current information, but also future conditions predicted based on data. These values inform drivers what they can expect when make trip. Travel is one most popular variables which users know. Travelers decisions bypass congested...

With the advent of advanced traveler information systems, prediction short-term link and corridor travel times has become increasingly important. The standard method for forecasting is a two-step process in which are first forecast then combined into time. If not independent, however, there potential erroneous or route time estimates. As an alternative to approach, direct one-step approach freeway proposed that automatically takes account interrelationships between times. use spectral basis...

A key input to many advanced traffic management operations strategies are origin–destination (OD) matricies. In order examine the possibility of estimating OD matricies in real‐time, two constrained estimators, based on generalized least squares and Kalman filtering, were developed tested. one‐at‐a‐time processing method was introduced provide an efficient organized framework for incorporating observations from multiple data sources real‐time. The estimators tested under different conditions...

In the past 10 years increased importance has been placed on public participation and environmental concerns in transportation system decision-making. While there are numerous societal objectives to consider when planning operating a system, it is not clear whether optimal strategy with respect one objective also other objectives. This paper examines how new considerations can be modeled within traditional, macroscopic traffic assignment methodology. addition, methodology for modeling of...

This paper provides a description of how decisions concerning transportation programmes and projects can be made in the context sustainable transportation. It information on identifying appropriate performance measures for then quantifying these with traffic simulation model (CORSIM) as well environmental models. The quantified were used three decision making methodologies. test bed this study comprised corridor Tshwane, South Africa one Houston, Texas. A method based multi-attribute utility...

The calibration of traffic microsimulation models has received widespread attention in transportation modeling. A recent concern is whether these can simulate conditions realistically. deployment intelligent systems North America provided an opportunity to obtain traffic-related data. In some cases the distribution data rather than simple measures central tendency such as mean, available. This paper examines a method for calibrating so that simulation results, travel time, represent observed...

The calibration of microscopic traffic simulation models has been a topic increased attention in the transportation and engineering profession. These analyses have traditionally concerned with identifying "best" parameter set from range acceptable values. A methodology to introduce calibrate low distribution is examined; it uses measures central tendency dispersion (i.e., mean variance) generate input parameters for car-following sensitivity factors models. approach applied IH-10 Houston,...

Advanced traveler information systems (ATIS) are one component of intelligent transportation (ITS), and a major ATIS is travel time information. Automatic vehicle location (AVL) systems, which part ITS, have been adopted by many transit agencies to track their vehicles predict in real time. Because the complexity involved, there no universally approach for this latter application, research needed area. The objectives paper develop model bus arrival using AVL data apply real-time...

Transit signal priority (TSP), which has been deployed in many cities North America and Europe, is a traffic enhancement strategy that facilitates efficient movement of transit vehicles through signalized intersections. Most TSP systems, however, do not work well networks with nearside bus stops because the uncertainty dwell time. Unfortunately, most on U.S. arterial roadways are ones. In this research, weighted-least-squares regression modeling was used to estimate stop time and, more...

In recent years, microsimulation has become increasingly important in transportation system modeling. A potential issue is whether these models adequately represent reality and enough data exist with which to calibrate models. There been rapid deployment of intelligent (ITS) technologies most urban areas North America the last 10 years. While ITSs are developed primarily for real-time traffic operations, typically archived available calibration. methodology, based on sequential simplex...

Freeway ramp metering often exists in the vicinity of a signal-controlled diamond interchange, at which surface street system and freeway intersect. Even though both systems are controlled by traffic signals, they primarily operate independently one another. The integrated operations were studied with VISSIM, microscopic simulation model. A network consisting segment was constructed VISSIM. connected through interchange on-ramps off-ramps. objective study to develop an control algorithm for...

Traffic flow prediction is an important application of the ITS technology. In this paper, we applied nonlinear time-series modeling techniques to analyze a traffic data. Our objective investigate deterministic properties using time series analysis technique. The experiment performed for inductance loop data collected from San Antonio freeway system. study concludes that exhibits chaotic and based on phase space dynamics can be used predict flow.