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Full-Text Articles in Engineering
Enhanced Traffic Incident Analysis With Advanced Machine Learning Algorithms, Zhenyu Wang
Enhanced Traffic Incident Analysis With Advanced Machine Learning Algorithms, Zhenyu Wang
Computational Modeling & Simulation Engineering Theses & Dissertations
Traffic incident analysis is a crucial task in traffic management centers (TMCs) that typically manage many highways with limited staff and resources. An effective automatic incident analysis approach that can report abnormal events timely and accurately will benefit TMCs in optimizing the use of limited incident response and management resources. During the past decades, significant efforts have been made by researchers towards the development of data-driven approaches for incident analysis. Nevertheless, many developed approaches have shown limited success in the field. This is largely attributed to the long detection time (i.e., waiting for overwhelmed upstream detection stations; meanwhile, downstream stations …
Estimating Freeway Traffic Volume Using Shockwaves And Probe Vehicle Trajectory Data, Khairul Anuar, Mecit Cetin
Estimating Freeway Traffic Volume Using Shockwaves And Probe Vehicle Trajectory Data, Khairul Anuar, Mecit Cetin
Civil & Environmental Engineering Faculty Publications
Probe vehicle data are increasingly becoming the primary source of traffic data. In current practice, traffic volumes and speeds are collected from inductive loop or similar devices. As probe vehicle data become more widespread, it is imperative that methods are developed so that traffic state estimators like speed, density and flow can be derived from probe vehicle data as well. In this paper, a methodology to estimate traffic flow on a freeway based on probe vehicle trajectory data combined with traffic shockwave theory is proposed. In essence, probe vehicle trajectory can indicate the free-flowing and congested regimes. By using LWR …
Methodologies For Estimating Traffic Flow On Freeways Using Probe Vehicle Trajectory Data, Khairul Azfi Anuar
Methodologies For Estimating Traffic Flow On Freeways Using Probe Vehicle Trajectory Data, Khairul Azfi Anuar
Civil & Environmental Engineering Theses & Dissertations
Probe vehicle data are increasingly becoming the primary source of traffic data. As probe vehicle data become more widespread, it is imperative that methods are developed so that traffic state estimators such as flow, density, and speed can be derived from such data. In this dissertation three different methodologies are proposed for predicting traffic flow or volume on a freeway. All of the proposed methodologies exploit several different traffic flow theories in conjunction with probe vehicle data to predict traffic flow. The first methodology takes advantage of the fundamental diagram or speed-flow relationship. The relationship states that flow can be …
Investigating The Relationship Between Latent Driving Patterns And Traffic Safety Using Smartphone-Based Mobile Sensor Data, Kenneth Wynne
Investigating The Relationship Between Latent Driving Patterns And Traffic Safety Using Smartphone-Based Mobile Sensor Data, Kenneth Wynne
Civil & Environmental Engineering Theses & Dissertations
Crash frequency modelling has been used in the past as an attempt to quantify the expected number of crashes occurring on a certain segment of roadway given a set of variables and factors describing the roadway segment and the traffic along that segment. These models are referred to as the Safety Performance Functions (SPFs) in the Highway Safety Manual (HSM). In past studies, these SPFs have focused primarily on roadway geometric information along with limited traffic exposure data such as traffic volume. Alternate data sources for probe vehicle data are increasingly available and this research sought to exploit this new …
Characterizing Queue Dynamics At Signalized Intersections From Probe Vehicle Data, Semuel Yacob Recky Rompis
Characterizing Queue Dynamics At Signalized Intersections From Probe Vehicle Data, Semuel Yacob Recky Rompis
Civil & Environmental Engineering Theses & Dissertations
Probe vehicles instrumented with location-tracking technologies have become increasingly popular for collecting traffic flow data. While probe vehicle data have been used for estimating speeds and travel times, there has been limited research on predicting queuing dynamics from such data. In this research, a methodology is developed for identifying the travel lanes of the GPS-instrumented vehicles when they are standing in a queue at signalized intersections with multilane approaches. In particular, the proposed methodology exploits the unequal queue lengths across the lanes to infer the specific lanes the probe vehicles occupy. Various supervised and unsupervised clustering methods were developed and …