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Public safety, especially the daily traffic accident is concerned by the public. Previous studies have already discussed accident reasons associated with accidents statistically. There is a method called Innovators Marketplace on Data Jackets created by Professor Ohsawa. This method is used to externalize the value of data via stakeholders' requirement communication. This paper applied the solution...
Accident reduction projects must undergo the research stage of the current situation and trends based on a historical record of accidents. Identification of hot spots for accidents is a vital step in safety management, since roadway improvements are supposed to be applied to random locations. In this context we present a diagnosis of the traffic accidents in the Cidade Industrial de Curitiba, CIC...
Road hotspots detection method is a key issue in the field of intelligent transportation research. Compared with normal hotspots caused by high traffic flow, abnormal hotspots, which are results of road accidents, perform an occurrence time random behavior and difficult to predict. In this paper, a region real-time congestion factor is constructed to realize road abnormal hotspots discovery. Based...
This paper develops a method for a safe and autonomous intersection crossing. A centralized system controls autonomous vehicles within a certain surrounding of the intersection and generates optimized trajectories for all vehicles in the area. A recently proposed design approach, [10], where this problem is expressed as a convex optimization problem using space sampling instead of time sampling, is...
Delay in providing Emergency Medical Services (EMS) is the cause of the high mortality rate in road traffic accidents in countries like India. There is delay involved in each and every stage of the process, right from reporting an accident to dispatching an ambulance, till the patient is safely handed over to the casualty. Minimizing this delay can help save lives. We propose a comprehensive solution...
Automobile Industry shares the massive distinction of being part of numerous accidents in our daily routine. The main objective of this work is to develop a vision zero approach that promotes a high standard integrated safety culture and achieve a secure environment with no fatalities for prioritization of road safety. Increasing rate of road accidents are due to driver distraction such as fatigue...
Ahead of an unavoidable collision, the actual crash constellation and along with it, the crash severity can significantly change based on the driver actions. To justify the use of safety measures like airbags, prior to an accident, the severity of the predicted crash must be high enough and the crash severity prediction itself must be reliable. In this work, a machine learning driven reliability estimator...
Optimal Arrival Time Scheduling (OATS) is a strategy for intersection control in an environment of highly or fully automated vehicles previously developed by the authors. It schedules vehicle arrivals at the intersection with a Mixed Integer Linear Program (MILP). OATS goal is to minimize vehicle delay at the intersection and its approaches while avoiding collisions. This goal is achieved by decomposing...
V2V transmission of Safety Warning Message (SWM) can provide warning before emergency occurs to avoid accident, and remind surrounding vehicles to avoid potential danger. There are two main problems that will affect the transmission performance of SWM, namely the high local flow and low efficiency caused by high probability of sub-health vehicles (SHV) and traditional single channel and flooding transmission...
Accurate and rapid estimation and prediction of accident impacts are significant, as it assists road administration to alleviate traffic congestion and help the road users to make better travel decisions. In either case, information of how long an accident affects the traffic at nearby intersections is essential. Although there have been various approaches regarding prior-accident issues, only a few...
In metropolitan areas, about 50% of traffic delays are caused by non-recurring traffic incidents. Hence, accurate prediction of the duration of such events is critical for traffic management authorities. In this paper, we study the predictability of the duration of traffic incidents by considering various external factors. As incident data is typically sparse, training a large number of models (for...
Future advanced driver assistance systems as well as autonomous vehicles are expected to further increase their areas of applicability. Reliable maneuver estimations are a prerequisite for many of the intended functionalities. Accordingly, maneuver estimation systems need to cover a wide range of scenarios. The majority of recently presented approaches are targeted at fixed scenarios. However, having...
This study suggests real-time sensing system of elderly's crossing behavior at outdoor environments. In general, many researchers use a manual based techniques by video-recorded footage for detecting the behaviors. The detecting data are pedestrians' crossing times, speeds, trajectory data, step length, elderly pedestrians' crossing characteristics, and interaction with approaching vehicles, critical...
This study introduces the behavior of human driver's delay in model checking to verify the interaction between a driver and an automated driving system (ADS). An ADS interacts with humans, including other drivers and pedestrians to ensure safety on roads. In particular, human drivers and Level 3 ADSs must take control of the vehicle when the safety may be compromised. Since human driver behavior is...
In recent years, the concept of Internet of Vehicles (IoV) is becoming a hot research issue. However, too much and clutter information received by drivers through IoV may affect their driving attention. It is necessary to provide drivers effective guide and notification services according to time, locations and events. This study proposes a Message Queue Telemetry Transport (MQTT) based guide and...
Recently, many researched have been conducted to prevent a lot of traffic accidents caused by driver distraction such as neglect of forward-looking. A HUD (Head Up Display) is an exemplary device that can make human keep their eyes forward. However, when an image is generated from a light source, there is a case ghost images appear. These ghost images may cause dizziness to the driver while driving...
Drowsiness has symptoms which are itchy eyes, slow eye blink movement, smaller pupils, yawning and even trembling body. But the driver ignores it when the body send one of those signals often. The impacts which can occur to the driver, such as make incorrect decision while driving, could happen and lead to the most car accident reason. Therefore, the system which can provide an alarm when the driver...
Autonomous emergency braking systems have been already introduced to the markets, and have good driver acceptance in terms of the functions of such system. However, such system reaches its limit when there are unexpected moving obstacles appearing suddenly from poor visibility area, such as a space behind a parked vehicle. This paper describes a shared control in risk predictive braking manoeuvre...
With the advent of electronic technology and computer technology, integrated management and control is the development tendency of the airborne electronic system in advanced aircraft. Modern aircrafts are designed to use a vehicle management system (VMS) that integrates many flight critical functions into one system. Vehicle management system (VMS) benefit a lot from integration; however, the safety...
The most common road right of tram can be described as independent at road section and mixed at the intersection, so the conflict between tram and other types of traffic modes appears. As tramcar has a high operating speed and long braking distance, some potential safety hazards may exist. Paper finds that most tram accident occurs at the intersection and collision with pedestrians has the most serious...
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