Analysis of Urban Road Traffic Network Based on Complex Network

Zhao, Tian; Jia, Limin; Dong, Hui; Su, Fei; Zhang, Zundong

doi:10.1016/j.proeng.2016.01.290

Cited by 62 publications

(30 citation statements)

References 11 publications

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“…In the last three decades, traffic and human mobility in big cities have been topics of increasing interest for the social [1][2][3][4] and computer science [5][6][7][8]. These topics have been researched to understand the way that people move in the city through street networks [9][10][11][12] or public transportation networks [13][14][15], but also to understand people's behavior as they commute [16,17]. In this regard, one of the most significant efforts is the study and understanding of "driving anger" [18].…”

Section: Introductionmentioning

confidence: 99%

Anger while driving in Mexico City

et al. 2019

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This study aims to analyze the level of anger developed by drivers in Mexico City and also understand the behavior that those drivers use to express that anger, using four different survey methods. The first focuses on personal information, the second Driving Anger Expression Inventory (DAX), the third refers to a shorten version of Driving Anger Scale (DAS) and the fourth being the Dula Dangerous Driving Index (DDDI). These have previously been applied and validated in several different countries. The questionnaires were filled out online by 626 drivers. Using the data collected through the online platform, it was possible to identify the kind of reactions volunteers displayed while driving. Also, it was possible to identify that people in Mexico City developed anger depending on their driving area. Our analyses shows that in the Adaptive/Constructive Expression subscale, males and females show a significant difference in their mean score, with women express their anger in a more constructive way than males.

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Section: Introductionmentioning

confidence: 99%

Anger while driving in Mexico City

et al. 2019

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“…We conduct various topological analysis taking into account external factors such as the seasonal weather, the difficulty of the route, or trailhead facilities.Complex network theory enables the extraction of non singular topological features [28]. In the literature, there are several cases of applicability to transport system [29][30][31][32][33][34][35]. For example, in [34] the transport network of Singapore subway has been analysed where the nodes are transport stops and stations, the edges represent the transport lines connection between the nodes, and the weights of the edges are the number of passengers between the nodes.…”

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confidence: 99%

Analysing human mobility patterns of hiking activities through complex network theory

et al. 2017

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The exploitation of high volume of geolocalized data from social sport tracking applications of outdoor activities can be useful for natural resource planning and to understand the human mobility patterns during leisure activities. This geolocalized data represents the selection of hike activities according to subjective and objective factors such as personal goals, personal abilities, trail conditions or weather conditions. In our approach, human mobility patterns are analysed from trajectories which are generated by hikers. We propose the generation of the trail network identifying special points in the overlap of trajectories. Trail crossings and trailheads define our network and shape topological features. We analyse the trail network of Balearic Islands, as a case of study, using complex weighted network theory. The analysis is divided into the four seasons of the year to observe the impact of weather conditions on the network topology. The number of visited places does not decrease despite the large difference in the number of samples of the two seasons with larger and lower activity. It is in summer season where it is produced the most significant variation in the frequency and localization of activities from inland regions to coastal areas. Finally, we compare our model with other related studies where the network possesses a different purpose. One finding of our approach is the detection of regions with relevant importance where landscape interventions can be applied in function of the communities.

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“…The application of complex network theory in an urban traffic system mainly includes evolution mechanism of traffic complex network, traffic network dynamics, traffic congestion control, etc. [42][43][44][45][46][47]. In the aspect of urban traffic network, it mainly studies the influence of network topology on network capacity and network traffic flow, so as to find an effective approach for urban traffic congestion alleviation [15].…”

Section: Complex Network Theorymentioning

confidence: 99%

Road Landscape Morphology of Valley City Blocks under the Concept of “Open Block”—Taking Lanzhou City as an Example

et al. 2019

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The unique valley geographical environment and the congestion-prone road landscape make valley city traffic jammed easily. In this paper, under the background of “open blocks”, two open patterns, which correspond to two different road landscapes ("ideal grid opening" and "open under realistic conditions"), are proposed. Taking Lanzhou city as an example, six basic statistical characteristics are used to compare and analyze the changes of road network topology in blocks to find out which open pattern is more suitable for valley cities. The results show that the pattern "open under realistic conditions" has a significant effect on the improvement of network performance and capacity. Specifically, breaking the "large blocks" and developing the small-scale blocks help to alleviate the traffic pressure. Besides, the opening of blocks located along river valley has a more positive effect on improving road network performance than the blocks sited in the inner area of cities.

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Analysis of Urban Road Traffic Network Based on Complex Network

Cited by 62 publications

References 11 publications

Anger while driving in Mexico City

Anger while driving in Mexico City

Analysing human mobility patterns of hiking activities through complex network theory

Road Landscape Morphology of Valley City Blocks under the Concept of “Open Block”—Taking Lanzhou City as an Example

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