Comparative Analysis of Traffic Performance of Urban Transportation Systems

Amini, Behnam; Peiravian, Farideddin; Mojarradi, Morteza; Derrible, Sybil

doi:10.3141/2594-19

Cited by 16 publications

(9 citation statements)

References 23 publications

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“…On the other hand, there exist various road network structures in the real world, such as modified linear, branch, grid, 3-directional grid, 1-ring web, and 2-ring web 16 . To make the dataset more representative, it is crucial to collect the data from a city with different road network structures.…”

Section: Background and Summarymentioning

confidence: 99%

Urban link travel speed dataset from a megacity road network

et al. 2019

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Link travel speeds in road networks are fundamental data in many research areas of traffic, transportation, and logistics. To support the research in these areas, we develop a dataset, containing the travel speeds on each road link and in different time periods together with the real road network map. The dataset is collected from a representative megacity in Western China, Chengdu. The road network of this city involves different urban road network structures. The dataset shows the realistic variations and randomness of urban link travel speeds. This enables the research of real data-driven decision-making problems in traffic, transportation and logistics areas.

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Section: Background and Summarymentioning

confidence: 99%

Urban link travel speed dataset from a megacity road network

et al. 2019

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“…Unlike reliability analysis, vulnerability studies focus on identifying the critical elements of a road network, in order to inform mitigation strategies, as the road network structure can have a significant impact on travel demand ( 23 ). Several analysis methods have been proposed, and Taylor categorized vulnerability studies into four main groups: risk-based inventory analysis; topology-based analysis; serviceability-based analysis; and accessibility-based analysis ( 11 ).…”

Section: Literature Reviewmentioning

confidence: 99%

Modeling the Effectiveness of Infrastructure and Travel Demand Management Measures to Improve Traffic Congestion during Typhoons

Wisetjindawat

Derrible

Kermanshah

2018

Transportation Research Record

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Many commuters find themselves stranded during natural disasters like typhoons. In the Tokai region in Japan, many road sections become heavily congested during typhoons, with some commuters reporting homebound trips taking more than four times longer than usual because of road flooding at several locations. Although large typhoons are considered extreme events (in terms of magnitude), they occur frequently (i.e., several times per year), substantiating the need for better preparedness. Nonetheless, it is impossible to predict exactly which roads are going to be flooded during a typhoon. As a result, in this study, a stochastic modeling approach was used that assigns a failure probability to each road segment based on climate model outputs for the region. Using this stochastic model, the travel time reliability between any given origin–destination pair can be determined. By applying this model to the road network of the Tokai region, two major measures were identified that could be implemented to reduce severe congestion during a typhoon. First, targeted infrastructure management measures can be implemented to strengthen heavily used roads, thus reducing the failure probability of major roads. Second, travel demand management measures can be implemented, such as asking commuters to leave their workplace or school one or two hours after their normal departure time. Overall, it was found that strengthening heavily used roads has a bigger impact in relieving congestion than delaying departure time, but that combining both strategies achieves the best results.

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“…For example, a study-which analyzed the road network and its relation to traffic performance-included a lengthy discussion of the connectivity degree index (Amini et al, 2015).…”

Section: Connectivity Analysis: a Classical Practicesmentioning

confidence: 99%

Evaluating the connectivity level of Fayoum city roads network: a new method using GIS

Saleh

Abdu

Ali

2018

PKG

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Road networks within cities are a vital component of the socioeconomic development processes. Many countries have sought to examine and evaluate the efficiency of road networks within urban areas because of the increasing demand for transportation. Thus, networks should be evaluated to guide the development of transport systems and infrastructure within cities. This study evaluates the connectivity level of the road network parts in Fayoum city, Egypt, through the application of some indicators of connectivity measurement, such as Beta, Alpha, Gamma, Connectivity degree, and the density of edges and nodes. The study follows a new method for evaluation; it does not apply the indicators on the network as a whole; however, it divides the city into zones and calculates the indicators of each zone using the Arc GIS 10.2.1 program. The authors applied the map Algebra method to map the results of the six indicators in one index called the Total Connectivity Index (TCI). The TCI gives more consistent results than other indices, and it is more related to different spatial patterns of roads. According to this indicator, most of the city road network seem to have a good connectivity level, whereas the city marginal areas prove to have a poor connectivity level. Therefore, any efforts to develop or construct new roads should be in the marginal areas of the city.

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Comparative Analysis of Traffic Performance of Urban Transportation Systems

Cited by 16 publications

References 23 publications

Urban link travel speed dataset from a megacity road network

Urban link travel speed dataset from a megacity road network

Modeling the Effectiveness of Infrastructure and Travel Demand Management Measures to Improve Traffic Congestion during Typhoons

Evaluating the connectivity level of Fayoum city roads network: a new method using GIS

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