Traffic flow in a Manhattan-like urban system

Li, Ming; Ding, Zhong-Jun; Jiang, Rui; Hu, Mao-Bin; Wang, Bing–Hong

doi:10.1088/1742-5468/2011/12/p12001

Cited by 32 publications

(19 citation statements)

References 24 publications

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“…Their influence will be weak when the network becomes congested. In the future, we will consider traffic flow control for the two-way network systems, such as signal control [ 26 ], information guidance [ 24 ], and vehicle movements bans [ 27 – 29 ].…”

Section: Discussionmentioning

confidence: 99%

A New Cellular Automaton Model for Urban Two-Way Road Networks

Shi

Cheng

Long

et al. 2014

Computational Intelligence and Neuroscience

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A new cellular automaton (CA) model is proposed to simulate traffic dynamics in urban two-way road network systems. The NaSch rule is adopted to represent vehicle movements on road sections. Two novel rules are proposed to move the vehicles in intersection areas, and an additional rule is developed to avoid the “gridlock” phenomenon. Simulation results show that the network fundamental diagram is very similar to that of road traffic flow. We found that the randomization probability and the maximum vehicle speed have significant impact on network traffic mobility for free-flow state. Their effect may be weak when the network is congested.

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Section: Discussionmentioning

confidence: 99%

A New Cellular Automaton Model for Urban Two-Way Road Networks

Shi

Cheng

Long

et al. 2014

Computational Intelligence and Neuroscience

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“…For each phase, the traffic light is green for one incoming link, and red for the other three incoming links for � time steps. This network model has been developed recently as an efficient way to analyse network traffic system by reflecting various aspects of real world traffic environment [2]. The deterministic Nagel-Schreckenberg (NaSch) rules [7], as one of most popular CA model, is adopted to simulate the movement of vehicles.…”

Section: Modelmentioning

confidence: 99%

“…Recent researches indicate that real-time traffic information, which can be collected by intelligent transportation system (ITS) and then fed back to drivers, can play an important role in improving traffic efficiency [1][2]. Many studies have been done regarding the application of real-time traffic information feedback in energy saving and management [3][4].…”

Section: Introductionmentioning

confidence: 99%

Reduce energy consumption with an advanced eco-routing guidance strategy

Chen

2021

E3S Web Conf.

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Route guidance is an efficient method to improve the capacity and efficiency of traffic system. This paper proposes an advanced ecorouting guidance strategy based on the real-time feedback information of both fuel consumption and travel time under the background of intelligent transportation system. Compared with the geographical shortest path strategy (GSP) and the time shortest path strategy (TSP), simulation experiment results show that the new strategy can help save fuel consumption and traffic cost by less detours. The distribution of travel cost among the roads is also provided, which is consistent with analysis. The implementation of the strategy in real cities might greatly reduce the energy consumption for transportation.

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“…Reference [19] proposed a two-dimension CA model by combining the NaSch model [5] and the BML model, attempting to investigate traffic state transition from free flow to completely jam on a grid network. Likewise, several two-dimension CA models have been proposed to investigate traffic state evolution with the consideration of various impacting factors, such as origindestination trips [20], traffic lights [21], network operation reliability [22], and so on.…”

Section: A Modeling Congestion Propagations Based On Simulationsmentioning

confidence: 99%

A Spatiotemporal Apriori Approach to Capture Dynamic Associations of Regional Traffic Congestion

2020

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Due to the interactions among adjacent roads in urban road networks, traffic congestion gradually propagates to neigboring roads, resulting in regional congestion. To develop advanced regional traffic control strategies, it is necessary to clearly understand the characteristics of regional congestion evolution. To this end, this paper proposes a data-driven approach to mine the spatiotemporal associations of regional traffic congestion. By introducing both time and space attributes, the intra-transaction spatiotemporal Apriori (IntraT-ST-Apriori) algorithm is developed to address the static features of regional traffic congestion; while the inter-transaction spatiotemporal Apriori (InterT-ST-Apriori) algorithm is developed to capture the dynamic characteristics of regional traffic congestion. Case studies are carried out for the urban road network in Tianjin, China, based on empirical data. The results indicate that the Intra-ST-Apriori algorithm can excavate the underlying associations of regional traffic congestion. Furthermore, the congestion propagation trajectories can be clearly revealed based on the InterT-ST-Apriori algorithm. It is expected that the proposed approach can support the regional traffic management and control, significantly relieving traffic congestion.

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Traffic flow in a Manhattan-like urban system

Cited by 32 publications

References 24 publications

A New Cellular Automaton Model for Urban Two-Way Road Networks

A New Cellular Automaton Model for Urban Two-Way Road Networks

Reduce energy consumption with an advanced eco-routing guidance strategy

A Spatiotemporal Apriori Approach to Capture Dynamic Associations of Regional Traffic Congestion

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