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Modelling of Daily Long-Term Urban Road Traffic Flow Distribution: A Poisson Process Approach 认领 引用 被引量：1
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作者 Jojo D. Lartey 《Open Journal of Modelling and Simulation》 2025年第1期89-105,共17页
Road traffic flow forecasting provides critical information for the operational management of road mobility challenges, and models are used to generate the forecast. This paper uses a random process to present a novel... Road traffic flow forecasting provides critical information for the operational management of road mobility challenges, and models are used to generate the forecast. This paper uses a random process to present a novel traffic modelling framework for aggregate traffic on urban roads. The main idea is that road traffic flow is random, even for the recurrent flow, such as rush hour traffic, which is predisposed to congestion. Therefore, the structure of the aggregate traffic flow model for urban roads should correlate well with the essential variables of the observed random dynamics of the traffic flow phenomena. The novelty of this paper is the developed framework, based on the Poisson process, the kinematics of urban road traffic flow, and the intermediate modelling approach, which were combined to formulate the model. Empirical data from an urban road in Ghana was used to explore the model’s fidelity. The results show that the distribution from the model correlates well with that of the empirical traffic, providing a strong validation of the new framework and instilling confidence in its potential for significantly improved forecasts and, hence, a more hopeful outlook for real-world traffic management. 展开更多
关键词 Poisson Process Macroscopic Traffic Flow Urban Road Long-Term Forecast Multiple Entries-Exits Dynamics
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A macroscopic traffic model based on weather conditions 认领 引用 被引量：1
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作者 Zawar H.Khan Syed Abid Ali Shah T.Aaron Gulliver 《Chinese Physics B》 SCIE EI CAS CSCD 2018年第7期179-189,共11页
A traffic model based on the road surface conditions during adverse weather is presented.The surface of a road is affected by snow,compacted snow,and ice,which affects the traffic behavior.In this paper,a new macrosco... A traffic model based on the road surface conditions during adverse weather is presented.The surface of a road is affected by snow,compacted snow,and ice,which affects the traffic behavior.In this paper,a new macroscopic traffic flow model based on the transition velocity distribution is proposed which characterizes traffic alignment under adverse weather conditions.Two examples are considered to illustrate the effect of the transition velocity behavior on traffic velocity and density.Simulation results are presented which show that this model provides a more accurate characterization of traffic flow behavior than the well known Payne-Whitham model.The proposed model can be used to reduce accidents and improve road safety during adverse weather conditions. 展开更多
关键词 macroscopic traffic flow anticipation Payne-Witham(PW)model adverse weather
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A Piecewise Switched Linear Approach for Traffic Flow Modeling 认领 引用 被引量：2
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作者 Abdelhafid Zeroual Nadhir Messai +1 位作者 Sihem Kechida Fatiha Hamdi 《International Journal of Automation and computing》 CSCD 2017年第6期729-741,共13页
Traffic modeling is a key step in several intelligent transportation systems（ITS） applications. This paper regards the traffic modeling through the enhancement of the cell transmission model. It considers the traffi... Traffic modeling is a key step in several intelligent transportation systems（ITS） applications. This paper regards the traffic modeling through the enhancement of the cell transmission model. It considers the traffic flow as a hybrid dynamic system and proposes a piecewise switched linear traffic model. The latter allows an accurate modeling of the traffic flow in a given section by considering its geometry. On the other hand, the piecewise switched linear traffic model handles more than one congestion wave and has the advantage to be modular. The measurements at upstream and downstream boundaries are also used in this model in order to decouple the traffic flow dynamics of successive road portions. Finally, real magnetic sensor data, provided by the performance measurement system on a portion of the Californian SR60-E highway are used to validate the proposed model. 展开更多
关键词 Switched systems modeling macroscopic traffic flow data calibration
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Continuum modeling of freeway traffic flows:State-of-the-art,challenges and future directions in the era of connected and automated vehicles 认领 引用 被引量：9
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作者 Saeed Mohammadian Zuduo Zheng +1 位作者 Md.Mazharul Haque Ashish Bhaskar 《Communications in Transportation Research》 2023年第1期187-211,共25页
Connected and automated vehicles(CAVs)are expected to reshape traffic flow dynamics and present new challenges and opportunities for traffic flow modeling.While numerous studies have proposed optimal modeling and cont... Connected and automated vehicles(CAVs)are expected to reshape traffic flow dynamics and present new challenges and opportunities for traffic flow modeling.While numerous studies have proposed optimal modeling and control strategies for CAVs with various objectives(e.g.,traffic efficiency and safety),there are uncertainties about the flow dynamics of CAVs in real-world traffic.The uncertainties are especially amplified for mixed traffic flows,consisting of CAVs and human-driven vehicles,where the implications can be significant from the continuum-modeling perspective,which aims to capture macroscopic traffic flow dynamics based on hyperbolic systems of partial differential equations.This paper aims to highlight and discuss some essential problems in continuum modeling of real-world freeway traffic flows in the era of CAVs.We first provide a select review of some existing continuum models for conventional human-driven traffic as well as the recent attempts for incorporating CAVs into the continuum-modeling framework.Wherever applicable,we provide new insights about the properties of existing models and revisit their implications for traffic flows of CAVs using recent empirical observations with CAVs and the previous discussions and debates in the literature.The paper then discusses some major problems inherent to continuum modeling of real-world(mixed)CAV traffic flows modeling by distinguishing between two major research directions:(a)modeling for explaining purposes,where making reproducible inferences about the physical aspects of macroscopic properties is of the primary interest,and(b)modeling for practical purposes,in which the focus is on the reliable predictions for operation and control.The paper proposes some potential solutions in each research direction and recommends some future research topics. 展开更多
关键词 Continuum model Macroscopic traffic flow model Traffic flow Connected and automated vehicles Autonomous vehicles Automated vehicles
Incident indicators for freeway traffic flow models 认领 引用 被引量：3
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作者 Azita Dabiri Balazs Kulcsar 《Communications in Transportation Research》 2022年第1期66-74,共9页
Developed in this paper is a traffic flow model parametrised to describe abnormal traffic behaviour.In large traffic networks,the immediate detection and categorisation of traffic incidents/accidents is of capital imp... Developed in this paper is a traffic flow model parametrised to describe abnormal traffic behaviour.In large traffic networks,the immediate detection and categorisation of traffic incidents/accidents is of capital importance to avoid breakdowns,further accidents.First,this claims for traffic flow models capable to capture abnormal traffic condition like accidents.Second,by means of proper real-time estimation technique,observing accident related parameters,one may even categorize the severity of accidents.Hence,in this paper,we suggest to modify the nominal Aw-Rascle(AR)traffic model by a proper incident related parametrisation.The proposed Incident Traffic Flow(ITF)model is defined by introducing the incident parameters modifying the anticipation and the dynamic speed relaxation terms in the speed equation of the AR model.These modifications are proven to have physical meaning.Furthermore,the characteristic properties of the ITF model is discussed in the paper.A multi stage numerical scheme is suggested to discretise in space and time the resulting non-homogeneous system of PDEs.The resulting systems of ODE is then combined with receding horizon estimation methods to reconstruct the incident parameters.Finally,the viability of the suggested incident parametrisation is validated in a simulation environment. 展开更多
关键词 Macroscopic traffic flow models Aw-Rascle model Traffic accidents Moving horizon PDE ODE Multi stage numerical scheme
Iterative learning control approach for ramp metering 认领 引用 被引量：4
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作者 ZhongshengHOU JianxinXU 《控制理论与应用（英文版）》 2005年第1期27-34,共8页
An iterative learning control scheme is developed to the traffic densitycontrol in a macroscopic level freeway environment. With rigorous analysis, the proposed intelligentcontrol scheme guarantees the asymptotic conv... An iterative learning control scheme is developed to the traffic densitycontrol in a macroscopic level freeway environment. With rigorous analysis, the proposed intelligentcontrol scheme guarantees the asymptotic convergence of the traffic density to the desired one. Thecontrol scheme is applied to a freeway model, and simulation results confirm the efficacy of theproposed approach. 展开更多
关键词 macroscopic traffic flow model traffic density control iterative learningcontrol freeway ramp metering
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