01349725

Component

http://www.trb.org/Publications/Blurbs/165625.aspx

This contribution provides a review of two new approaches to microscopic traffic data collection: the NGSIM project method and the Tracing Congestion Dynamics project method. In the former, vehicle trajectory data are collected from fixed locations (high-rise buildings). In the latter, these data are collected using a mobile platform (a helicopter), the main advantage of which is the increased flexibility of the data collection location. The authors briefly describe the observation technique, as well as the algorithms used to derive the vehicle trajectory data from the camera images collected. The authors show a couple of examples of data analysis techniques and review the main new findings of applying these to the gathered trajectory data. This includes new insights from model identification at the individual driving level, such as interdriver heterogeneity, multileader behavior, lane changing and overtaking. The authors also present results of collecting and analyzing trajectory data to study driving behavior under specific circumstances (i.e., driving behavior during incident conditions). Finally, the authors discuss some of the remaining open questions and how these questions might be answered in the near future. In particular, they discuss the need to fly along with the traffic for a prolonged period of time to investigate intra-driver differences, as well as intensifying the empirical research on driving behavior under special circumstances.

01349716

English

p 133

2011-6

Transportation Research Circular

Greenshields 75 Symposium

Web

References (2)

Algorithms; Behavior; Data collection; Driving; Helicopters; Microscopic traffic flow; Multistory structures; Traffic flow theory; Vehicle trajectories

Microscopic traffic data

Highways; Operations and Traffic Management; I71: Traffic Theory

TRIS, TRB

Aug 12 2011 3:50PM

• A Macroscopic Fundamental Diagram of Urban Traffic: Recent Findings
• A Simple and Pragmatic Representation of Traffic Flow
• A Stochastic Macroscopic Modeling Framework to Interpret the Fundamental Diagram
• Airborne Traffic Flow Data and Traffic Management
• Analysis of LWR Model with Fundamental Diagram Subject to Uncertainty
• Calibrating Speed–Density Functions for Mesoscopic Traffic Simulation
• Calibration of Steady-State Car-Following Models Using Macroscopic Loop Detector Data
• Effect of Lane-Change Maneuvers on a Simplified Car-Following Theory
• Empirical Relation Between Stochastic Capacities and Capacities Obtained from the Speed-Flow Diagram
• From Inductance Loops to Vehicle Trajectories
• Fundamental Diagram for Signalized Arterials: An Empirical Analysis Using High-Resolution Traffic Data
• Fundamental Diagram on Urban Roads: Myth or Truth?
• Greenshields’ Legacy: Highway Traffic
• Greenshields’ Legacy: Urban Streets
• Influence of Various Restrictions on Speed-Flow Models
• Lane-Change Maneuver Detection with Differential Global Positioning System Data from Probe Vehicle
• Measuring Traffic Flow Using Real-Time Data
• Modern Approaches to Basic Traffic Modeling: Three-Phase Traffic Theory
• Quality of Service Beyond the Traditional Fundamental Diagram
• Strategies to Improve Dissipation into Destination Networks Using Macroscopic Network Flow Models
• Traffic Flow Prospectives: From Fundamental Diagram to Energy Balance
• Traffic Flow Theory Historical Research Perspectives
• Treiterer’s Legacy: Traffic Flow Measurements and Characteristics