This study explores road users’ behaviors and accident analyses on different travel modes in the Bangkok Metropolitan Region (BMR). The questionnaire survey was adopted designed based contributing factors related to risk behavior perceptions modes. A total of 3000 participants submitted questionnaires that provided data for a multiple regression model analysis. results indicated have perception...

Pedestrian injuries and fatalities are one of the most significant problems related to travel and road safety. Pedestrians are vulnerable users of roads and due to the very different velocities and mass when compared to vehicles like cars and trucks, and very often they undergo serious injuries in case of collisions. Older pedestrians are even more vulnerable to injuries and fatalities due to (...

Pedestrians and cyclists are the most vulnerable road users. One of ways to increase their safety is safest route selection. Nowadays, there a lot navigation systems planners. However, these routes not assessed from viewpoint safety. The article describes one possible system alternatives assess for different types developed based on multifactorial analysis information. Correction factors allow ...

This article describes an approach to detect the wearing location of smart devices worn by pedestrians and cyclists. The detection, which is based solely on the sensors of the smart devices, is important context-information which can be used to parametrize subsequent algorithms, e.g. for dead reckoning or intention detection to improve the safety of vulnerable road users. The wearing location r...

We investigate social and interactional aspects of driving among groups of road users, where the roads and road use have the double qualities of means as well as ends, in order to generate meaningful and interesting mobile services. Based on ethnographic studies of groups of road users which all spend a lot of time on the roads for various purposes, ranging from work to leisure and fun, we expl...

Point clouds have been a popular representation to describe 3D environments for autonomous driving applications. Despite accurate depth information, sparsity of points results in difficulties extracting sufficient features from vulnerable objects small sizes. One solution is leveraging self-attention networks build long-range connections between similar objects. Another method using generative ...

How does scene complexity influence the detection of expected and appropriate objects within the scene? Traffic research has indicated that vulnerable road users (VRUs: pedestrians, bicyclists, and motorcyclists) are sometimes not perceived, despite being expected. Models of scene perception emphasize competition for limited neural resources in early perception, predicting that an object can be...

One of the important problems that urban residents suffer from is Traffic Congestion. It makes their life more stressful, it impacts several sides including economy: by wasting time, fuel and productivity. Moreover, psychological physical health. That road authorities required to find solutions for reducing traffic congestion guaranteeing security safety on roads. To this end, detecting users i...

For more than a decade, Vehicle-to-X communication has been a flicker of hope in the urge to make our roads safer. Numerous research projects advanced the underlying technology. Many technological hurdles were taken such as reliable sensor-based detection of local dangers, e.g., traffic jams. However, researchers have only recently begun to systematically investigate suitable user interfaces fo...