People
De Luca, Mario
in Cooperation with on an Cooperation-Score of 37%
Topics
- traffic congestion
- reliability
- assessment
- data
- maintenance
- intelligence
- road network
- scheduling
- neural network
- survey
- administration
- decision support system
- data analysis
- multivariate analysis
- cartography
- low volume road
- crash
- automobile
- perception
- highway traffic
- highway transportation
- driving
- driver
- coding system
- driving behavior
- highway
- questionnaire
- traffic regulation
- raised road marking
- operating speed
- anxiety
- anger
- normal distribution
- planning
- vehicle occupant
- passenger
- prototype
- specification
- shipbuilding
- interface
- mining
- passenger ship
- ergonomics
- military vessel
- case study
- density
- infrastructure
- passenger car
- sensor
- heavy vehicle
- traffic flow
- microwave
- calibration
- traffic data
- level of service
- two lane highway
- highway capacity
- microwave detector
- aircraft
- aviation
- hazard
- safety analysis
- database
- air transportation crash
- aviation safety
- cluster analysis
- type of traffic
- forecasting model
- vehicle
- decision making
- traffic
- highway safety
- sidewalk
- asphalt
- asphalt pavement
- resistance
- porous pavement
- pallet
- skid
- skid resistance
- pavement management system
- road
- ship
- propulsion
- marine engineering
- ship motion
- crop
- behavior
- modeling
- gas
- velocity
- automobile industry
- forecasting
- flux
- consensus
- train consist
- liquid
- collapse
- nozzle
- jet propelled aircraft
- building exit
- atmospheric turbulence
- turbulence
- pesticide
- Reynolds stress
- comminution
- show 76 more
Publications
- 2018Using artificial neural network and multivariate analysis techniques to evaluate road operating conditionscitations
- 2016STUDY ON BEHAVIORAL ANALYSIS OF DRIVERS: A SURVEY WITH QUESTIONNAIRES
- 2015Operational Effectiveness, Functions and Naval Tasks: a Multi - Dimensional Environment for the Definition of Naval Units
- 2014Calibrating the passenger car equivalent on Italian two line highways: A case studycitations
- 2014Aircraft safety analysis using clustering algorithmscitations
- 2013Using a K-Means Clustering Algorithm to Examine Patterns of Vehicle Crashes in Before-After Analysiscitations
- 2011Indirect skid resistance measurement for porous asphalt pavement managementcitations
- 2011Road safety knowledge-based decision support systemcitations
- 2010The oretical and numerical investigation on ship motion and propulsion in marine engineering
- 2007Contribution to the modelling of spray liquid atomization
Places of action
article
Using a K-Means Clustering Algorithm to Examine Patterns of Vehicle Crashes in Before-After Analysis
Abstract
The study aims to develop a support procedure to estimate the efficacy of infrastructural interventions to improve road safety. The study was carried out on a 110 km stretch of the A3 highway, in southern Italy. Data from a huge sample concerning traffic, geometry and accidents for two periods of the same duration were compared, for which cluster analysis, and in particular, the “hard c means” binary partition algorithm was employed. Using cluster analysis, all the accidents with strong similarities were aggregated. Then for each cluster, the “cluster representative” accident was identified, to find the average among the various characteristics (geometrical, environmental, accident-related). A “hazard index” was also created for each cluster, whereby it was possible to establish the danger level for each “cluster”. Using this information, an accident prediction model using a multi-variate analysis was produced. This model was used as a support for decision-making on infrastructures and to simulate situations to which the Before-After technique could be applied.
Topics
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