scholarly journals A Policeless traffic ticketing system with autonomous vehicles

2015 ◽  
Vol 4 (1) ◽  
Author(s):  
Mükremin Özkul ◽  
Ilir Çapuni
Keyword(s):  
Traffic Safety ◽  
Autonomous Vehicles ◽  
Secure Communication ◽  
Preliminary Report ◽  
Detection System ◽  
Monitoring Systems ◽  
Ongoing Research ◽  
Daunting Task ◽  
Traffic Violation ◽  
Traffic Rules

Besides being expensive, traffic violation monitoring systems rely heavily on a huge infrastructure that incurs installation, operational, and maintenance costs. Developing countries — where people do exhibit less traffic safety aware- ness — deployment of such systems becomes a daunting task. A police- men cannot be everywhere, and a policeman can also be bribed. With the above goals in mind, in this paper we present an infrastructure- less and police-less traffic violation detection system that relies solely on the broadcast messages between the vehicles and secure communication of the vehicles with the transportation authority. Each vehicle should be equipped with a small board box (or a smartphone) with a wifi antenna and 3G capability and subscription. The system is highly scalable and can include pedestrians with smartphones. It is active and operational wherever and whenever there are two participants in the range of each other. Each participant has two roles to bear simultaneously. The first one is to report and prove its location to the transportation authority. The second one is to report the presence of other vehicles in the neighborhood to the transportation authority and flag those that disobey the traffic rules acting as trustworthy and anonymous witnesses. This is a preliminary report on a still ongoing research project.

scholarly journals On implementation of the principle of unavoidability of liability with regards to the drivers of vehicles registered in foreign countries that violate traffic rules of the Russian Federation, recorded by automated monitoring systems

2021 ◽  
pp. 56-71
Author(s):  
Sergei Aleksandrovich Novoselov
Keyword(s):  
Russian Federation ◽  
Traffic Safety ◽  
Road Traffic ◽  
Executive Branch ◽  
Monitoring Systems ◽  
Automated Monitoring ◽  
The Road ◽  
Foreign Countries ◽  
The Russian Federation ◽  
Traffic Rules

The subject of this research is the international and Russian normative legal acts aimed to ensure unavoidability of liability for violators of the Road Traffic Rules of the Russian Federation, namely the drivers of vehicles registered in foreign countries. The object of this research is the administrative legal relations that arise in the course of proceedings in such cases. The article traces the correlation between the increase in violations of the road traffic rules and consequences of the traffic accidents caused by such drivers; as well as the reason for lack of evidence required by the Main Directorate for Traffic Safety to hold the responsible to account. The article explores the questions of interaction between the Main Directorate for Traffic Safety of the Ministry of Internal Affairs of Russia and other state departments in order to eliminate the flaws in organization of the work on ensuring unavoidability of liability by drivers of vehicles registered in foreign countries. The conclusion is made on the need to form a unified database on owners of motor vehicles registered in foreign countries and individuals bringing them into the Russian Federation, determine the federal department of executive branch and delegation of power thereto for ensuring that individuals crossing the border of the Russian Federation adhere to these administrative laws, as well as introducing amendments into the legislation of the Russian Federation on restricting the right of foreign citizens to cross the state borders of the Russian Federation if failed to pay an administrative penalty. The author also underlines the need for the development of international agreements between the Russian Federation and foreign countries on the mutual recognition and liability for traffic violations recorded by automated monitoring systems.

The Impact of Mental States on Semi-autonomous Driving Takeover Performance: A Systematic Review

2020 ◽  
Vol 64 (1) ◽  
pp. 1372-1376
Author(s):  
Gaojian Huang ◽  
Christine Petersen ◽  
Brandon J. Pitts
Keyword(s):  
Systematic Review ◽  
Autonomous Vehicles ◽  
Response Times ◽  
Autonomous Driving ◽  
Mental States ◽  
Manual Control ◽  
Monitoring Systems ◽  
Wide Range ◽  
Different Types ◽  
The Impact

Semi-autonomous vehicles still require drivers to occasionally resume manual control. However, drivers of these vehicles may have different mental states. For example, drivers may be engaged in non-driving related tasks or may exhibit mind wandering behavior. Also, monitoring monotonous driving environments can result in passive fatigue. Given the potential for different types of mental states to negatively affect takeover performance, it will be critical to highlight how mental states affect semi-autonomous takeover. A systematic review was conducted to synthesize the literature on mental states (such as distraction, fatigue, emotion) and takeover performance. This review focuses specifically on five fatigue studies. Overall, studies were too few to observe consistent findings, but some suggest that response times to takeover alerts and post-takeover performance may be affected by fatigue. Ultimately, this review may help researchers improve and develop real-time mental states monitoring systems for a wide range of application domains.

scholarly journals Lane-deviation penalty formulation and analysis for autonomous vehicle avoidance maneuvers

2021 ◽  
pp. 095440702110079
Author(s):  
Pavel Anistratov ◽  
Björn Olofsson ◽  
Lars Nielsen
Keyword(s):  
Objective Function ◽  
Traffic Safety ◽  
Autonomous Vehicles ◽  
Autonomous Vehicle ◽  
Emergency Situation ◽  
Change Scenario ◽  
Initial Speed ◽  
Objective Functions ◽  
Double Lane Change ◽  
Tire Friction

Autonomous vehicles hold promise for increased vehicle and traffic safety, and there are several developments in the field where one example is an avoidance maneuver. There it is dangerous for the vehicle to be in the opposing lane, but it is safe to drive in the original lane again after the obstacle. To capture this basic observation, a lane-deviation penalty (LDP) objective function is devised. Based on this objective function, a formulation is developed utilizing optimal all-wheel braking and steering at the limit of road–tire friction. This method is evaluated for a double lane-change scenario by computing the resulting behavior for several interesting cases, where parameters of the emergency situation such as the initial speed of the vehicle and the size and placement of the obstacle are varied, and it performs well. A comparison with maneuvers obtained by minimum-time and other lateral-penalty objective functions shows that the use of the considered penalty function decreases the time that the vehicle spends in the opposing lane.

scholarly journals Motorcycles Health and Traffic Safety: Evidence from Commercial Motorcyclists in Gombe State, Nigeria

2017 ◽  
Vol 6 (5) ◽  
pp. 33
Author(s):  
Nasiru Inuwa ◽  
Abdullahi Mohammed Jikan-Jatum ◽  
Dr. Hassana Yahya Bello
Keyword(s):  
Traffic Safety ◽  
Random Sampling ◽  
Road Safety ◽  
One Health ◽  
Sampling Technique ◽  
Safety Measures ◽  
Breath Testing ◽  
Motorcycle Accidents ◽  
Continuous Use ◽  
Traffic Rules

<p>Although commercial motorcyclists are gaining acceptance by all and sundry as a means of public transport which are adapted to the contemporary Nigerian society. However, expose to all hazards including accidents are further worsened by the lack of proper knowledge on road safety measures of the commercial motorcycle riders. Therefore, this study evaluates the effects of a commercial motorcycle on health and traffic safety in Gombe metropolis, Gombe State, Nigeria. The study was carried out in Gombe Metropolis with using the random sampling technique to select 500 motorcyclists sample size. The data generated were analyzed using simple percentages. The study finds that most of the motorcycles accidents were caused by reckless riding, drug abuse and disregard to traffic rules. Similarly, the study finds that Tricycles are the most important factor causing motorcycle accidents in Gombe metropolis. Furthermore, the study finds that most of the respondents suffer from at least one health challenge as a result of their continuous use of the motorcycle. The study therefore recommends that government and other relevant agencies should be equipped with materials and human resources to embark on regular and massive breath testing of motorcyclists to detect riders who ride under the influence of drugs. This can be achieved through identifying the Drunken riders and make them face the wrath of the law.</p>

scholarly journals Acceptance of Smart Electronic Monitoring at Work as a Result of a Privacy Calculus Decision

Informatics ◽  
2019 ◽  
Vol 6 (3) ◽  
pp. 40
Author(s):  
Evgenia Princi ◽  
Nicole C. Krämer
Keyword(s):  
Electronic Monitoring ◽  
Detection System ◽  
Monitoring Systems ◽  
The Internet ◽  
Privacy Concerns ◽  
User Data ◽  
Privacy Calculus ◽  
System Acceptance ◽  
Emergency Detection ◽  
The Internet Of Things

Smart technology in the area of the Internet of Things (IoT) that extensively gathers user data in order to provide full functioning has become ubiquitous in our everyday life. At the workplace, individual’s privacy is especially threatened by the deployment of smart monitoring technology due to unbalanced power relations. In this work we argue that employees’ acceptance of smart monitoring systems can be predicted based on privacy calculus considerations and trust. Therefore, in an online experiment (N = 661) we examined employees’ acceptance of a smart emergency detection system, depending on the rescue value of the system and whether the system’s tracking is privacy-invading or privacy-preserving. We hypothesized that trust in the employer, perceived benefits and risks serve as predictors of system acceptance. Moreover, the moderating effect of privacy concerns is analyzed.

scholarly journals Disruptive Impacts of Automated Driving Systems on the Built Environment and Land Use: An Urban Planner’s Perspective

2019 ◽  
Vol 5 (2) ◽  
pp. 24 ◽  
Author(s):  
Yigitcanlar ◽  
Wilson ◽  
Kamruzzaman
Keyword(s):  
Land Use ◽  
Built Environment ◽  
Traffic Safety ◽  
Autonomous Vehicles ◽  
Capital Investment ◽  
Smart Cities ◽  
Autonomous Vehicle ◽  
Urban Transport ◽  
Current Status ◽  
Smart Mobility

Cities have started to restructure themselves into ‘smart cities’ to address the challenges of the 21st Century—such as climate change, sustainable development, and digital disruption. One of the major obstacles to success for a smart city is to tackle the mobility and accessibility issues via ‘smart mobility’ solutions. At the verge of the age of smart urbanism, autonomous vehicle technology is seen as an opportunity to realize the smart mobility vision of cities. However, this innovative technological advancement is also speculated to bring a major disruption in urban transport, land use, employment, parking, car ownership, infrastructure design, capital investment decisions, sustainability, mobility, and traffic safety. Despite the potential threats, urban planners and managers are not yet prepared to develop autonomous vehicle strategies for cities to deal with these threats. This is mainly due to a lack of knowledge on the social implications of autonomous capabilities and how exactly they will disrupt our cities. This viewpoint provides a snapshot of the current status of vehicle automation, the direction in which the field is moving forward, the potential impacts of systematic adoption of autonomous vehicles, and how urban planners can mitigate the built environment and land use disruption of autonomous vehicles.

Design of an obstacle detection system for marine autonomous vehicles

2015 ◽  
Author(s):  
Andrea Sorbara ◽  
Angelo Odetti ◽  
Marco Bibuli ◽  
Enrica Zereik ◽  
Gabriele Bruzzone
Keyword(s):  
Autonomous Vehicles ◽  
Detection System ◽  
Obstacle Detection
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