An integrated model for estimating time-varying network origin–destination distributions

Chang, Gang‐Len; Tao, Xianding

doi:10.1016/s0965-8564(98)00038-x

Cited by 25 publications

(9 citation statements)

References 7 publications

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“…There is extensive research in the literature (e.g. Chang and Tao, 1999;Stathopoulos and Tsekeris, 2004;Tsekeris and Stathopoulos, 2003) regarding the estimation of dynamic O-D trip matrices from observed link flows. A common method for disaggregating the total O-D matrix into finer time resolutions is to use factors derived from the temporal profile of the demand (TRB, 2011).…”

Section: Demand Distributionmentioning

confidence: 99%

An optimization method for sustainable traffic control in urban areas

Papatzikou¹,

Stathopoulos²

2015

Transportation Research Part C: Emerging Technologies

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Section: Demand Distributionmentioning

confidence: 99%

An optimization method for sustainable traffic control in urban areas

Papatzikou¹,

Stathopoulos²

2015

Transportation Research Part C: Emerging Technologies

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“…There is extensive research in the literature (e.g. Chang and Tao, 1999;Tsekeris and Stathopoulos, 2003;Stathopoulos and Tsekeris, 2004) regarding the estimation of dynamic O-D trip matrices from observed link flows. A common method for disaggregating the total O-D matrix into finer time resolutions is to use factors derived from the temporal profile of the demand (TRB, 2011).…”

Section: Demand Distributionmentioning

confidence: 99%

Testing Traffic Control Strategies in Gaborone Using Dynamic Traffic Assignment Tools

Papatzikou¹,

Stathopoulos

Papadakos³

2014

IFAC Proceedings Volumes

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Dynamic Traffic Assignment (DTA) models are widely used for online and offline applications for efficient deployment of traffic control strategies and the evaluation of traffic management schemes and policies. A valid statistical methodology is proposed for assessing the successful implementation of traffic control strategies with regard to their inherit risk at the network efficiency and therefore providing a useful and easily applicable tool for practitioners in selecting the less risky alternative. In this paper we have considered a common method, Value-at-Risk assessment of financial portfolios, for the assessment of traffic control strategies using Dynamic Assignment Tools in the City Centre of Gaborone in Botswana and the results are presented here.

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“…Chang and Wu (1996) proposed a formulation to estimate time-dependent OD trip matrices based on traffic flows through screenlines and link volumes. Chang and Tao (1999) extended the screenline approach to decompose the network into smaller subnetworks, and a two-stage OD demand estimation framework is proposed for a large network based on the network decomposition. Ashok and Ben-Akiva (2000) adopted the Kalman filtering technique to estimate OD demand flows.…”

Section: (3)applications Of Dynamic Od Estimationmentioning

confidence: 99%

An empirical study of simulation-based dynamic traffic assignment procedures

Liao

2011

Transportation Planning and Technology

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Under Intelligent Transportation Systems (ITS), real-time operations of traffic management measures depend on long-term planning results, such as the originÁ destination (OD) trip distribution; however, results from current planning procedures are unable to provide fundamental data for dynamic analysis. In order to capture dynamic traffic characteristics, transportation planning models should play an important role to integrate basic data with real-time traffic management and control. In this paper, a heuristic algorithm is proposed to establish the linkage between daily OD trips and dynamic traffic assignment (DTA) procedures; thus results from transportation planning projects, in terms of daily OD trips, can be extended to estimate time-dependent OD trips. Field data from Taiwan are collected and applied in the calibration and validation processes. Dynamic Network Assignment-Simulation Model for Advanced Road Telematics (DYNASMART-P), a simulation-based DTA model, is applied to generate timedependent flows. The results from the validation process show high agreement between actual flows from vehicle detectors (VDs) and simulated flows from DYNAMSART-P.

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An integrated model for estimating time-varying network origin–destination distributions

Cited by 25 publications

References 7 publications

An optimization method for sustainable traffic control in urban areas

An optimization method for sustainable traffic control in urban areas

Testing Traffic Control Strategies in Gaborone Using Dynamic Traffic Assignment Tools

An empirical study of simulation-based dynamic traffic assignment procedures

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