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Analysis of traffic network flow relations and two-fluid model parameter sensitivity.

TLDR
Moving traffic interference, which is represented by stochastic short-term lane blockages of varying duration and frequency, is shown to be a key determinant of the traffic character of an urban street network and of the behavior described by the two-fluid theory and verified operationally.
Abstract
Presented in this paper is a systematic exploration, using microscopic simulation, of the sensitivity of network-level traffic flow descriptors and relationships, particularly those of the two-fluid theory of town traffic, to network features, traffic control, and traffic-interfering urban activity levels. Moving traffic interference, which is represented by stochastic short-term lane blockages of varying duration and frequency, is shown to be a key determinant of the traffic character of an urban street network and of the behavior described by the two-fluid theory and verified operationally. In addition, the sensitivity of the two-fluid model parameters to a change in traffic control strategy, in this case the coordination of signals to achieve progression, is demonstrated. Furthermore, keeping the same network configuration, the effect of network topology on traffic flow is examined by changing the identical length of the links.

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Urban Network-Wide Traffic Variables and Their Relations

TL;DR: Time-lapse aerial photography over the Central Business Districts of Austin and Dallas, Texas has been employed to determine the averages of concentration, speed and fraction of vehicles stopped and to examine the relations among such network-wide averages including the flow, indicating that the average flow in a street network may indeed be expressed as the product of the space mean speed and concentration.
Journal ArticleDOI

Exploring Properties of Networkwide Flow-Density Relations in a Freeway Network

TL;DR: In this article, the authors investigate the properties of network-level traffic flow relationships in a freeway network with the use of commonly available loop detector data, and investigate the impact of the spatial and temporal distribution of congestion in a selected network on the shape and properties of the flow-density relation.
Journal ArticleDOI

Restricting driving for better traffic and clearer skies: Did it work in Beijing?

TL;DR: It is found that more stringent driving restrictions had a positive impact on city-wide traffic speed, but little effect on the concentration of inhalable particulates, implying that positive traffic and environmental effects of a policy may not go hand in hand.
Journal ArticleDOI

Hysteresis and Capacity Drop Phenomena in Freeway Networks: Empirical Characterization and Interpretation

TL;DR: In this article, the authors characterize hysteresis and capacity drop phenomena in freeway networks with the use of commonly available loop detector data from three networks: Chicago, Illinois; Portland, Oregon; and Irvine, California.
Journal Article

Urban traffic network flow models

TL;DR: The analysis indicates that the network-level traffic variables are interrelated in a manner similar to that captured by the traffic models established for individual road sections.
References
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Book

Kinetic theory of vehicular traffic

TL;DR: A theory of multi-LANE traffic flow and the space-time evolution of thevelocity distribution of cars are examined to help understand the role of driver behaviour and strategy in this network.
Journal ArticleDOI

A Two-Fluid Approach to Town Traffic

TL;DR: A two-fluid model of town traffic has been developed by extending ideas formulated in an earlier kinetic theory of multilane traffic to consist of moving cars and cars stopped as a result of traffic conditions, and contains a new parameter identified with the quality of the traffic network system.
Journal Article

Investigation of network-level traffic flow relationships: some simulation results

TL;DR: An exploratory study of networklevel relationships in an isolated network with a fixed number of vehicles circulating according to the microscopic rules embedded in the NETSIM traffic simulation model yields useful insights into network-level traffic phenomena and suggests promising avenues for further research.
Journal ArticleDOI

Characterizing Traffic Conditions in Urban Areas

TL;DR: The observational data support the assumption that the average speed in an urban street network is proportional to the fraction of the vehicles moving raised to a power and is in agreement with the supposition that during relatively uniform periods the traffic is ergodic.

Network flow simulation for urban traffic control system-phase 2. technical report

TL;DR: In this paper, the authors report phase II of the development, testing, and application of the UTCS-1 MODEL, which includes SEPARATE SECTIONS DEALING with: 1 reVISION and EXPANSION of the model 2 EXPANDED CALIBRATION INPUTS 3 VALIDATION of PHASE II MODEL 4 SENSITIVITY TESTS 5 INITIAL APPLICATION of MODEL in UTCS PROGRAM 6 ADDITIONAL DEMONSTRATION TESS
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