Publications by Minh Hai Pham | EPFL Graph Search

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This paper presents the concept of a methodology for identifying in real time risky motorway traffic conditions. This research effort is to automate the extraction of traffic patterns from large data archives using advanced computing techniques. These patt ...

Road traffic safety is receiving increasing attention. Different real-time safety indicators relying on traffic sensor data can be found in the literature. Some are based on the posterior analysis of crash and traffic data; while others are based on real t ...

Most of existing motorway traffic safety studies using disaggregate traffic flow data aim at developing models for identifying real-time traffic risks by comparing pre-crash and non-crash conditions. One of serious shortcomings in those studies is that non ...

The impact of weather on traffic and its behavior is not well studied in literature primarily due to lack of integrated traffic and weather data. Weather can significant effect the traffic and traffic management measures developed for fine weather might no ...

One of the challenges with autonomous vehicles is their performance at intersections. An alternative control method for the coordination of autonomous vehicles at intersections is shown. The proposed approach was grounded in multiple-robot coordination and ...

Road traffic crashes are becoming increasing concerns in many countries. In Europe, many efforts have been devoted to improve road traffic safety yet the important target of halving the number of yearly road deaths in 2010 could not be achieved in many Eur ...

Road traffic crash is a problem in every country. According to World Health Organization, in Europe there are about 127,000 people killed and at least some 2.4 million injured each year. Incident detection algorithms to detect incidents on motorways are we ...

This paper presents an approach to develop motorway Rear-End Crash Risk Identification Models (RECRIM) using disaggregate traffic data, meteorological data and crash database for a study site at a two-lane-per-direction section on Swiss right-hand driving ...

Road safety has become a major concern and many strategies have been introduced to reduce road risk and mitigate severe consequences of unavoidable crashes. This paper presents an innovative methodology which aims at monitoring in real time and even antici ...

Minh Hai Pham

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Real-Time Identification of Risk-Prone Traffic Patterns Taking into Account Weather Conditions

Sensitivity of road safety indicators in normal and crash cases

Methodology for Developing Real-time Motorway Traffic Risk Identification Models Using Individual Vehicle Data

Considering weather in simulating traffic

Micro-simulation Modeling of Coordination of Automated Guided Vehicles at Intersection

Motorway Traffic Risks Identification Model - MyTRIM Methodology and Application

Applicability of road safety indicators to assess driving risks under Swiss road conditions

Random Forest Models for Identifying Motorway Rear-End Crash Risks Using Disaggregate Traffic Data and Meteorological Information

Can safety indicators assess and monitor road traffic risk in real-time? Investigation of two safety indicators on Swiss motorways

Season effect on traffic: A case study in Switzerland