Research on on-street temporary parking effects based on cellular automaton model under the framework of Kerner’s three-phase traffic theory

Hu, Xiaojian; Hao, Xiatong; Wang, Han; Su, Zhixun; Zhang, Fang

doi:10.1016/j.physa.2019.123725

Cited by 17 publications

(16 citation statements)

References 54 publications

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“…The increase of urban pollution along with the extensive use of cars and deficiency in public transportation services have transformed the transportation ecosystem [ 1 ], car traffic management [ 2 ] as well as the car parking planning and management services [ 3 ]. These transformations became a challenge for every municipality and cause frustration to individuals, business organizations and local authorities.…”

Section: Introductionmentioning

confidence: 99%

Social media analysis of car parking behavior using similarity based clustering

2022

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This paper investigates car parking users’ behaviors from social media perspective using social network based analysis of online communities revealed by mining the associated hashtags in Twitter. We propose a new interpretable community detection approach for mapping user’s car parking behavior by combining Clique, K-core and Girvan–Newman community detection algorithms together with a content-based analysis that exploits polarity, relative frequency and dominant topics. Twitter API was used to collect relevant data by tracking popular car-parking hashtags. A social network graph is constructed using a similarity-based analysis. Finally, interpretable communities are inferred by monitoring the outcomes of clique, K-core and Girvan–Newman community detection algorithms. This interpretability is linked to the aggregation of keywords, hashtags and/or location attributes of the tweet messages as well as a visualization module that enables interaction with users. In parallel, a global trend analysis investigates parking types and Twitter influence with respect to both sentiment polarity and dominant trends (extracted using KeyBERT based approach) is performed. The implementation of this social media analytics has uncovered several aspects associated to car-parking behaviors. A comparison with some state-of-the-art community detection methods has also been carried out and revealed some similarities with our developed approach.

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Section: Introductionmentioning

confidence: 99%

Social media analysis of car parking behavior using similarity based clustering

2022

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“…A detailed description of the transport network can be found in Table 2. There are three movement O-D pairs within the analyzed system: (1,8), (2,8) and (3,8). The transport network graph for each O-D pair was used to determine the sets of possible routes composed of links L ij .…”

Section: Case Studymentioning

confidence: 99%

“…Road congestion is a widespread global phenomenon resulting from high population density and increased number of motor vehicles [8]. The effects of congested road networks are a significant burden in terms of time loss, pollution, increased industrial costs, and road maintenance costs.…”

Section: Introductionmentioning

confidence: 99%

Nash Equilibrium and Stackelberg Approach for Traffic Flow Optimization in Road Transportation Networks—A Case Study of Warsaw

et al. 2023

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The article discusses the issue of modelling traffic flows and the transport network. Faced with an increase in the number of vehicles in road networks, the problem of congestion and the need to optimise traffic and adapt the transport infrastructure to changing demand are growing, especially in large cities. With this in mind, the authors of this publication developed a model of the road network in the north-eastern part of the Warsaw agglomeration based on the proposed algorithm. Two methods were used to optimise the distribution of traffic flows: the Nash equilibrium and the Stackelberg approach. The Nash equilibrium assumes the aim of achieving equal average times on all roads for each origin–destination (O-D) pair. This describes the state pursued by a decentralised system guided by the individual benefits of the traffic users. On the contrary, the Stackelberg approach aims to achieve optimal travel times for the entire system. The study was carried out for three scenarios that differed in the assumed traffic demand on the road network. The basic scenario assumed the average hourly traffic demand during the morning peak hour based on traffic measurements. On the other hand, the two alternative scenarios were developed as a 10% variation in traffic volumes from the baseline scenario. On the basis of the results, it was concluded that an increase in traffic volumes for all O-D pairs could result in a decrease in traffic volumes on some links of the road network. This means that the transport network is a complex system and any change in parameters can cause significant and difficult to predict changes. Therefore, the proposed approach is useful in terms of traffic forecasting for road networks under conditions of changing traffic flow volumes. Additionally, the total travel time for the entire system differed for each scenario by a percentage difference of 0.67–1.07% between the optimal solution according to the Nash equilibrium and the Stackelberg approach.

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“…Simulation running parameters are set up as follows: The simulation time is 10,000 steps, and one step is 1 s. The first 2000 steps of each simulation are discarded in order to exclude transient effects and the effects from random disturbances. Simulation experimental parameters are shown in Table 4, where p a , p d , p change and v max are referenced by the reference [24]. p input and T are determined according to empirical values and calibrated based on observations of real traffic conditions.…”

Section: Simulation Experiments Schemementioning

confidence: 99%

On-Street Cruising for Parking Model in Consideration with Gaming Elements and Its Impact Analysis

et al. 2022

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On-street cruising by drivers impedes the effectiveness of road traffic conditions and increases energy consumption and environmental impact. Existing models of on-street cruising for parking mainly embody those intrinsic on-street parking factors and disregard the extrinsic impacts from off-street parking gaming factors. This research focused on both the intrinsic and extrinsic elements, especially gaming factors, of off-street parking, i.e., the price of off-street parking, the waiting time of off-street parking, and the difference in walking time between their parking lots to their destinations. On-street cruising for a parking model is reconstructed in this paper in consideration with the equilibrium cruising time, i.e., the maximum tolerable cruise time after evaluating the cost of on-street and off-street parking. Correlation analysis showed that the off-street parking gaming factors were all positively related with the maximum tolerable cruise time. A simulation model was further presented for on-street cruising for the parking model by the cellular automata approach with real-world data. Simulation experiments demonstrated that the average speed of vehicles on the street increases by 9.858 km/h, the average delay decreases by 44.934 s, and the price of on-street parking increases by 4.5 CNY/h. The proposed on-street cruising for parking model proved effective by decreasing the maximum tolerable cruising time to bring significant improvements in average speed, average delay, and on-street cruising vehicles in road traffic flow.

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Research on on-street temporary parking effects based on cellular automaton model under the framework of Kerner’s three-phase traffic theory

Cited by 17 publications

References 54 publications

Social media analysis of car parking behavior using similarity based clustering

Social media analysis of car parking behavior using similarity based clustering

Nash Equilibrium and Stackelberg Approach for Traffic Flow Optimization in Road Transportation Networks—A Case Study of Warsaw

On-Street Cruising for Parking Model in Consideration with Gaming Elements and Its Impact Analysis

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