A realistic cellular automata model of bus route system based on open boundary

Luo, Yongji; Jia, Bin; Li, Xingang; Wang, Can; Gao, Ziyou

doi:10.1016/j.trc.2012.06.004

Cited by 33 publications

(26 citation statements)

References 31 publications

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“…It is based on V2V technology, which means each private vehicle can evaluate whether it is in the clear distance range of a rear bus or not according to real-time information (like location and speed). Since bus stops are often deployed near intersections to utilize the red-light time for boarding passengers [20,21], thus, the BLIP lane itself can be seen as the key factor in urban traffic flow and the model focuses on how the BLIP affects traffic flow on the road and does not take bus stations and intersections into account.…”

Section: Model Definitionmentioning

confidence: 99%

Evaluating Operational Effects of Bus Lane with Intermittent Priority under Connected Vehicle Environments

Song

Wang

et al. 2017

Discrete Dynamics in Nature and Society

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Bus lane with intermittent priority (BLIP) is an innovative method to improve the reliability of bus services while promoting efficient usage of road resources. Vehicle-to-vehicle (V2V) communication is an advanced technology that can greatly enhance the vehicle mobility, improve traffic safety, and alleviate traffic jams. To explore the benefits of BLIP operation under a connected environment, this study proposed a three-lane cellular automata (CA) model under opening boundary condition. In particular, a mandatory BLIP lane-changing rule is developed to analyze special asymmetric lane-changing behaviors. To improve the simulation accuracy, a smaller cell size is used in the CA model. Through massive numerical simulations, the benefits and influences of BLIP are explored in this paper. They include impacts on neighborhood lanes such as traffic density increasing and average speed decreasing, lane-changing behaviors, lane usage, and the impacts of bus departure interval and clear distance on the road capacity of BLIP. Analysis of traffic flow characteristics of BLIP reveals that there is a strong relationship among bus departure interval, clear distance, and road capacity. Furthermore, setting conditions for deployment of BLIP under the V2V environment such as reasonable departure interval, clear distance, and traffic density are obtained.

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Section: Model Definitionmentioning

confidence: 99%

Evaluating Operational Effects of Bus Lane with Intermittent Priority under Connected Vehicle Environments

Song

Wang

et al. 2017

Discrete Dynamics in Nature and Society

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Section: Literature Reviewmentioning

confidence: 99%

“…In the past several decades, to understand the complex dynamic phenomenon in traffic flow and solve the traffic congestion problem, some microscopic traffic flow models have been proposed and simulated, including car-following models (e.g., [11,12]) and cellular automata models (e.g., [13][14][15]). For heterogeneous traffic modeling, Tang et al [16] proposed a car-following model for different types of motorized vehicles and some following models to explore the heterogeneous traffic that consists of cars, bicycles, and pedestrians [17,18].…”

Section: Traffic Flow Models For Heterogeneous Trafficmentioning

confidence: 99%

Modeling the interactions between car and bicycle in heterogeneous traffic

Luo

Jia

Liu

et al. 2013

J of Advced Transportation

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Summary In this paper, a new cellular automata model is proposed to simulate the car and bicycle heterogeneous traffic on urban road. To capture the complex interactions between these two types of vehicles, a novel occupancy rule is adopted in the proposed model to consider the variable lateral distances of mixed vehicular traffic. Based on massive simulations, microscopic fundamental diagrams under different bicycle densities are devised. With these, the bicycle's spilling behavior is then investigated and discussed. In order to reflect the interference of a bicycle on a car, the interference transformation from friction state to block state is modeled explicitly. Finally, different simulation results under different occupancy rules indicate that the constant and fixed occupancy rule adopted in the previous studies might lead to overestimation of car flux in the heterogeneous traffic flows with different bicycle densities. Copyright © 2013 John Wiley & Sons, Ltd.

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“…There are analytical and simulation models of bus routes that aim to reproduce the underlying processes in bus operations, and shed some light on the associated uncertainties. One of the earliest successes in simulating a simple bus systems was from Cellular Automata modelling [9,20,29,35]. Whilst the dynamical foundations of these models are well understood, they are outperformed by more sophisticated models such as bus-following models [18,19,32,33,41]; and traffic-following models [7,15,42].…”

Section: Research Problem and Related Workmentioning

confidence: 99%

Dealing with uncertainty in agent-based models for short-term predictions

2020

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Agent-based models (ABM) are gaining traction as one of the most powerful modelling tools within the social sciences. They are particularly suited to simulating complex systems. Despite many methodological advances within ABM, one of the major drawbacks is their inability to incorporate real-time data to make accurate short-term predictions. This paper presents an approach that allows ABMs to be dynamically optimised. Through a combination of parameter calibration and data assimilation (DA), the accuracy of model-based predictions using ABM in real time is increased. We use the exemplar of a bus route system to explore these methods. The bus route ABMs developed in this research are examples of ABMs that can be dynamically optimised by a combination of parameter calibration and DA. The proposed model and framework can also be used in an passenger information system, or in an Intelligent Transport Systems to provide forecasts of bus locations and arrival times.A PREPRINT -AUGUST 23, 2019 varies over the route and with at off-peak to peak periods. There are methods to incorporate streaming data into models, such as data assimilation (DA) routines [26,45]. Broadly, DA refers to a suite of techniques that allow observational data to be incorporated into models [45] to provide an optimal estimate of the evolving state of the system. Performing DA increases the probability of having an accurate representation of the current state of the system, thereby reducing the uncertainty of future predictions. This is a technique that has been widely applied in fields such as meteorology, hydrology and oceanography [21].There are, however, two methodological challenges that must be overcome to apply DA in ABM. First, DA methods are often intrinsic to their underlying models which are typically systems of partial differential equations with functions linearised mathematically. Hence DA methods typically rely on linearising the underlying model [16]. One of the most appealing aspects of agent-based models is that they are inherently non-linear, so it is not clear whether the assumptions of traditional DA methods will hold. Second, it is still unknown how much uncertainty DA can effectively deal with when implemented within ABM. Assimilation of real-time data into ABMs has only been attempted a few times and these examples are limited by their simplicity [28,46,47]. This paper is part of a wider programme of work 2 that is focused on developing DA methods to be readily used in ABM. This paper focuses on one particular model that aims to make predictions of bus locations in real time. Bus route operation has been chosen due to its inherent uncertainties -for example a model will need to account for uncertain factors affecting how buses travel on the roads [22] -but also for its tractability -there are many fewer interactions than present in, say, a model of a crowd. We also focus on one particular DA algorithm -the Particle Filter (PF). This method is chosen due to its ability to incorporate data into non-linear models such as ABM...

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A realistic cellular automata model of bus route system based on open boundary

Cited by 33 publications

References 31 publications

Evaluating Operational Effects of Bus Lane with Intermittent Priority under Connected Vehicle Environments

Evaluating Operational Effects of Bus Lane with Intermittent Priority under Connected Vehicle Environments

Modeling the interactions between car and bicycle in heterogeneous traffic

Dealing with uncertainty in agent-based models for short-term predictions

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