00757540

Component

https://doi.org/10.3141/1644-08

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

The aim of this paper is to provide a simple model of the interaction between buses and the surrounding traffic flow. Traffic flow is assumed to be described by a first-order macroscopic model of the Lighthill-Whitman-Richards type. As a consequence of their kinematics, which in large measure can be considered to be independent of the flow of other vehicles, buses should be considered as a moving capacity restriction from the point of view of other drivers. This simple interaction model is analyzed, mainly by considering the moving frame associated with the bus in order to derive analytical computation rules for derivation of the effects of the presence of the bus in the traffic flow. After deriving traffic equations in the moving frame associated with a bus, the usual basic concepts of first-order models, including those of relative traffic supply and demand, are generalized to the moving frame. A simple model for the bus-traffic interaction, assuming that the dimension of the bus can be neglected, can be derived from analytical calculations in the moving frame. Finally, some tentative results for the inclusion of buses into first-order traffic flow models, discretized according to Godunov's scheme, are given.

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

English

p. 70-79

1998

Transportation Research Record

030906516X

Figures (8) ; References (27)

Macroscopic traffic flow; Traffic flow; Traffic simulation; Transit buses

Interactions; Macroscopic simulation

Highways; Operations and Traffic Management; Planning and Forecasting; Public Transportation; I71: Traffic Theory

TRIS, TRB, ATRI

Dec 14 1998 12:00AM

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• 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
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• 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
• LINEAR ACCELERATION CAR-FOLLOWING MODEL DEVELOPMENT AND VALIDATION
• MODELING MULTIPLE USER-CLASS TRAFFIC
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• URBAN FREEWAY TRAFFIC FLOW PREDICTION: APPLICATION OF SEASONAL AUTOREGRESSIVE INTEGRATED MOVING AVERAGE AND EXPONENTIAL SMOOTHING MODELS