Analysis and validation of lane-drop effects on multi-lane freeways

Munjal, P K; Hsu, Yuan-Shih; Lawrence, Robert L.

doi:10.1016/0041-1647(71)90037-2

Cited by 84 publications

(23 citation statements)

References 2 publications

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“…Many of these phenomena can be simulated by one-dimensional models like cellular automata [11,12] and macroscopic traffic models [5,13]. It is, however, questionable if traffic dynamics at on-and off-ramps or intersections can be correctly described without consideration of lane changes [14][15][16][17][18][19]. The same holds close to changes in the number of lanes, accidents, or construction sites.…”

Section: Introductionmentioning

confidence: 97%

Macroscopic dynamics of multilane traffic

1999

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We present a macroscopic model of mixed multi-lane freeway traffic that can be easily calibrated to empirical traffic data, as is shown for Dutch highway data. The model is derived from a gas-kinetic level of description, including effects of vehicular space requirements and velocity correlations between successive vehicles. We also give a derivation of the lane-changing rates. The resulting dynamic velocity equations contain non-local and anisotropic interaction terms which allow a robust and efficient numerical simulation of multi-lane traffic. As demonstrated by various examples, this facilitates the investigation of synchronization patterns among lanes and effects of on-ramps, off-ramps, lane closures, or accidents.

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Section: Introductionmentioning

confidence: 97%

Macroscopic dynamics of multilane traffic

1999

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“…It is generally accepted that, for uninterrupted traffic flow, there is a density-speed relationship, v = V (ρ) (Hall et al, 1986). In this example, we assume the so-called triangular fundamental diagram (Munjal et al, 1971;Newell, 1993),…”

Section: Information Propagation Through a Shock Wavementioning

confidence: 99%

Instantaneous information propagation in a traffic stream through inter-vehicle communication

Jin¹,

Recker

2006

Transportation Research Part B: Methodological

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The advancement of wireless communication technology has made possible the consideration of inter-vehicle communication as a foundation for developing decentralized advanced transportation information systems that would function as a sort of "internet on the road". In this paper, we discuss the reliability of inter-vehicle communication in a traffic stream, dependent on the distribution of equipped vehicles. With the assumption that information propagation is instantaneous compared to vehicle movements, the reliability is measured by the probability of success for information to travel beyond a location; stochastic models are presented for both uniform and general traffic streams. In the models, the traffic stream is divided into a series of cells based on the transmission range, the structure of possible most-forward-within-range communication chains is clarified, the probabilities for information to travel to and beyond a vehicle at a certain hop are computed regressively, and the lower bound of the absolute success rate for information to travel beyond a point is determined. Based on the models, we examine the performance of information propagation for different penetration rates, transmission ranges, and traffic scenarios that include gaps and shock waves. Finally, some implications and future extensions of this effort are discussed.

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“…In this example, we use the following triangular fundamental diagram (Munjal et al, 1971;Haberman, 1977;Newell, 1993),…”

Section: Traffic Stream With a Shock Wavementioning

confidence: 99%