00757538

Component

https://doi.org/10.3141/1644-06

http://scholar.google.com...lman&publication_year=1998

The idea that weather conditions and driver- and vehicle-population characteristics affect a homogenous roadway segment's flow-versus-density relationship is explored here. The interaction of third-order polynomial regressions of flow on powers of density with a variety of explanatory variables suggests that driver, vehicle, and environmental attributes significantly influence the flow-density relationship and conform in substantial part with intuitive expectations. For example, higher flows are predicted across most densities for more mature and more male traveler groups as well as for nonrainy conditions with fewer long vehicles and trucks. Moreover, under highly congested conditions, braking is associated with slightly higher flows than those predicted for accelerating vehicles.

This paper appears in Transportation Research Record No. 1644, Traffic Flow Theory: Simulation Models, Macroscopic Flow Relationships, and Flow Estimation and Prediction.

English

p. 47-56

1998

Transportation Research Record

030906516X

Figures (3) ; References (27) ; Tables (4)

Drivers; Human characteristics; Traffic density; Traffic flow; Vehicle characteristics; Weather conditions

Driver characteristics; Relationships

Highways; Operations and Traffic Management; Safety and Human Factors; Society; I71: Traffic Theory

TRIS, TRB, ATRI

Dec 14 1998 12:00AM

• BAYESIAN REGRESSION-BASED URBAN TRAFFIC MODELS
• CAR-FOLLOWING UNDER CONGESTED CONDITIONS: EMPIRICAL FINDINGS
• COMPARISON OF INTEGRATION, TSIS/CORSIM, AND WATSIM IN REPLICATING VOLUMES AND SPEEDS ON THREE SMALL NETWORKS
• CONSTRUCTION AND CALIBRATION OF A LARGE-SCALE MICROSIMULATION MODEL OF THE SALT LAKE AREA
• CONTINUOUS LEARNING FRAMEWORK FOR FREEWAY INCIDENT DETECTION
• EMERGENT FUNDAMENTAL PEDESTRIAN FLOWS FROM CELLULAR AUTOMATA MICROSIMULATION
• ESTIMATION OF TIME-DEPENDENT TURNING FRACTIONS AT SIGNALIZED INTERSECTIONS
• FROM PARTICLE HOPPING MODELS TO TRAFFIC FLOW THEORY
• IMPROVED HIGH-ORDER MODEL FOR FREEWAY TRAFFIC FLOW
• INTEGRATION OF DYNAMIC TRAFFIC ASSIGNMENT WITH REAL-TIME TRAFFIC ADAPTIVE CONTROL SYSTEM
• INTRODUCING BUSES INTO FIRST-ORDER MACROSCOPIC TRAFFIC FLOW MODELS
• LINEAR ACCELERATION CAR-FOLLOWING MODEL DEVELOPMENT AND VALIDATION
• MODELING MULTIPLE USER-CLASS TRAFFIC
• MULTIREGIME APPROACH FOR MICROSCOPIC TRAFFIC SIMULATION
• SIMULATION OF AN ARTERIAL INCIDENT ENVIRONMENT WITH PROBE REPORTING CAPABILITY
• URBAN FREEWAY TRAFFIC FLOW PREDICTION: APPLICATION OF SEASONAL AUTOREGRESSIVE INTEGRATED MOVING AVERAGE AND EXPONENTIAL SMOOTHING MODELS