Abstract The purpose of this study is to investigate and determine the factors affecting vehicle pedestrian accidents taking place in busiest suburban highway Guilan Province located north Iran provide most accurate prediction model. Therefore, effective principal variables probability occurrence each category crashes are analyzed computed utilizing factor analysis, logit, Machine Learning appr...

Progress towards advanced systems for assisted or even autonomous driving is leveraging recent advances in recognition and segmentation methods. Yet, we are still facing challenges in particular in bringing reliable driving to inner cities. Anticipation becomes a key element in order to react timely and prevent accidents. In this paper we argue that it is necessary to predict at least 1 second ...

Increased urban sprawl and increased vehicular traffic have resulted in an increased number of traffic fatalities, the majority of which occur near intersections. According to the National Highway Safety Administration, one out of eight fatalities occurring at intersections is a pedestrian. An intelligent, real-time system capable of predicting situations leading to accidents or near misses wil...

Although the number of pedestrian fatalities and injuries is steadily declining worldwide, pedestrian protection is still an important issue. Extensive researches have been carried out for pedestrian protection in order to establish regulations for pedestrian safety. The automobile hoods and bumpers, which pedestrians frequently collide into during accidents, should be designed for the safety o...

In recent years, demand for pedestrian detection using inexpensive low-resolution LIDAR (LIght Detection And Ranging) is increasing, as it can be used to prevent traffic accidents involving pedestrians. However, it is difficult to detect pedestrians from a low-resolution (sparse) point-cloud obtained by a low-resolution LIDAR. In this paper, we propose multi-frame features calculated by integra...

Cooperative sensors allow for reliable detection, classification and localization of objects in the vehicle’s surroundings – even without a line-of-sight contact to the object. The sensor principle is based on a communication signal between the vehicle and a transponder attached to the object of interest – a pedestrian, for example. Thereby, localization information is gathered by measuring the...

In intermediate steps on the way to full driving automation, the role of the driver will remain essential, and driver’s behaviour when aided by Advanced Driver Assistance Systems (ADAS) must be allowed for, in order to obtain the maximum benefit. In the present study, a driving simulator experimentation was carried out. Sixty-nine volun‐ teers were enrolled to face a simulated hazard situation ...

Interactions between pedestrians, bikers, and human-driven vehicles have been a major concern in traffic safety over the years. The upcoming age of autonomous vehicles will further raise major problems on whether self-driving cars can accurately avoid accidents; on the other hand, usability issues arise on whether human-driven cars and pedestrian can dominate the road at the expense of the auto...