Perspectives of a web-based software to improve crash data quality and reliability in Italy

Montella, Alfonso; Chiaradonna, Salvatore; Criscuolo, Giorgio; Martino, Salvatore De

doi:10.1109/mtits.2017.8005714

Cited by 3 publications

(1 citation statement)

References 11 publications

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“…The second issue concerns missing information recorded by the different police forces. Montella et al [49][50][51][52] found that in 36% of the crashes the location was completely missing. Due to these problems, the information reported in the database is often incomplete, making the location of accidents in some cases difficult to determine, in others impossible.…”

Section: Crash Datamentioning

confidence: 99%

Development of Macro-Level Safety Performance Functions in the City of Naples

et al. 2019

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This paper presents macro-level safety performance functions and aims to provide empirical tools for planners and engineers to conduct proactive analyses, promote more sustainable development patterns, and reduce road crashes. In the past decade, several studies have been conducted for crash modeling at a macro-level, yet in Italy, macro-level safety performance functions have neither been calibrated nor used, until now. Therefore, for Italy to be able to fully benefit from applying these models, it is necessary to calibrate the models to local conditions. Generalized linear modelling techniques were used to fit the models, and a negative binomial distribution error structure was assumed. The study used a sample of 15,254 crashes which occurred in the period of 2009–2011 in Naples, Italy. Four traffic analysis zones (TAZ) levels were used, as one of the aims of this paper is to check the extent to which these zoning levels help in addressing the issue. The models were developed by the stepwise forward procedure using explanatory Socio-Demographic (S-D), Transportation Demand Management (TDM), and Exposure variables. The most significant variables were: children and young people placed in re-education projects, population, population aged 65 and above, population aged 25 to 44, male population, total vehicle kilometers traveled, average congestion level, average speed, number of trips originating in the TAZ, number of trips ending in the TAZ, number of total trips and, number of bus stops served per hour. An important result of the study is that children and young people placed in re-education projects negatively affects the frequency of crashes, i.e., it has a positive safety effect. This demonstrates the effectiveness of education projects, especially on children from disadvantaged neighbourhoods.

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Section: Crash Datamentioning

confidence: 99%

Development of Macro-Level Safety Performance Functions in the City of Naples

et al. 2019

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An automated geo-spatial correction framework for transportation

Soysal

Şekeroğlu

Dickey

2019

Journal of Traffic and Transportation Engineering (English Edit

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Crash data reporting systems in fourteen Arab countries: challenges and improvement

Abounoas

Raphaël

Badr

et al. 2020

AoT

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Traffic crash fatalities and serious injuries still represent a big burden for most Arab countries because the actual policies, strategies, and interventions are based on poorly collected data. Through this paper, we assessed the crash data reporting systems in Fourteen Arab countries via a survey conducted to identify the fundamental dysfunctions at the management and data collection levels. Then, to address some of the dataset problems, we had applied data mining technics to select a minimum of variables (crash, vehicle, and road user) that should be collected for a better understanding of crash circumstances. For this raison, three methods of selection (correlation, information gain, and gain ratio) and seven classifiers (naive Bayes, nearest neighbour, random forest, random tree, J48, reduced error pruning tree, and bagging) were tested and compared to identify the variables that affect significantly the crashes severity. Decision trees family of classifiers showed the best performance based on the analysis of the area under the curve. The explanatory variables obtained from the data mining process were combined with other descriptive variables to maintain traceability. As a result, we produced hybrid lists of variables for the crash, vehicle, and road user, each contains 25 variables. Finally, in order to propose a cost-effective solution to switch from manual to electronic data collection, we got inspired by a tool used to track animals to create and customize a unified e-form for handheld devices, in order to ensure easy entering of the harmonized data for the entire region based on our selected lists of variables. The tool verified the countries requirements especially by enabling data collection and transfer with and without the internet, and by allowing data analysis thought its built-in Geographic Information System (GIS) capabilities.

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Perspectives of a web-based software to improve crash data quality and reliability in Italy

Cited by 3 publications

References 11 publications

Development of Macro-Level Safety Performance Functions in the City of Naples

Development of Macro-Level Safety Performance Functions in the City of Naples

An automated geo-spatial correction framework for transportation

Crash data reporting systems in fourteen Arab countries: challenges and improvement

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