DAVI

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The Dutch Automated Vehicle Initiative (DAVI) is a research and demonstration initiative developing automated vehicles for use on public roads.

The project is unique in that, besides simply making driverless cars, it also focuses on having automated vehicles share information among each other. [1] The aim is to have the cars help to avoid traffic congestion by reducing the safety distance between the cars (from 2 seconds to 0.5 seconds) and avoiding sudden traffic slow-downs due to maneuvers undertaken by drivers.

Related Research Articles

<span class="mw-page-title-main">Traffic enforcement camera</span> Camera for detecting motoring offenses

A traffic enforcement camera is a camera which may be mounted beside or over a road or installed in an enforcement vehicle to detect motoring offenses, including speeding, vehicles going through a red traffic light, vehicles going through a toll booth without paying, unauthorized use of a bus lane, or for recording vehicles inside a congestion charge area. It may be linked to an automated ticketing system.

<span class="mw-page-title-main">Platoon (automobile)</span> Group of vehicles travelling separately but following another

In transportation, platooning or flocking is a method for driving a group of vehicles together. It is meant to increase the capacity of roads via an automated highway system.

<span class="mw-page-title-main">Self-driving car</span> Vehicle operated with reduced human input

A self-driving car, also known as a autonomous car (AC), driverless car, robotaxi, robotic car or robo-car, is a car that is capable of operating with reduced or no human input. Self-driving cars are responsible for all driving activities, such as perceiving the environment, monitoring important systems, and controlling the vehicle, which includes navigating from origin to destination.

<span class="mw-page-title-main">Rear-end collision</span> Traffic-collision type

A rear-end collision, often called rear-ending or, in the UK, a shunt, occurs when a forward-moving vehicle crashes into the back of another vehicle in front of it. Similarly, rear-end rail collisions occur when a train runs into the end of a preceding train on the same track. Common factors contributing to rear-end collisions include driver inattention or distraction, tailgating, panic stops, brake checking and reduced traction due to wet weather or worn pavement.

<span class="mw-page-title-main">Electronic toll collection</span> Wireless system to automatically collect the usage fee or toll charged to vehicles

Electronic toll collection (ETC) is a wireless system to automatically collect the usage fee or toll charged to vehicles using toll roads, HOV lanes, toll bridges, and toll tunnels. It is a faster alternative which is replacing toll booths, where vehicles must stop and the driver manually pays the toll with cash or a card. In most systems, vehicles using the system are equipped with an automated radio transponder device. When the vehicle passes a roadside toll reader device, a radio signal from the reader triggers the transponder, which transmits back an identifying number which registers the vehicle's use of the road, and an electronic payment system charges the user the toll.

<span class="mw-page-title-main">Advanced driver-assistance system</span> Electronic systems that help a vehicle driver while driving or parking

Advanced driver-assistance systems (ADAS) are technologies that assist drivers with the safe operation of a vehicle. Through a human-machine interface, ADAS increase car and road safety. ADAS use automated technology, such as sensors and cameras, to detect nearby obstacles or driver errors, and respond accordingly. ADAS can enable various levels of autonomous driving.

<span class="mw-page-title-main">Drive-through</span> Service that motorists can use from their vehicle (without parking)

A drive-through or drive-thru, is a type of take-out service provided by a business that allows customers to purchase products without leaving their cars. The format was pioneered in the United States in the 1930s, and has since spread to other countries.

<span class="mw-page-title-main">Automatic number-plate recognition</span> Optical character recognition technology

Automatic number-plate recognition is a technology that uses optical character recognition on images to read vehicle registration plates to create vehicle location data. It can use existing closed-circuit television, road-rule enforcement cameras, or cameras specifically designed for the task. ANPR is used by police forces around the world for law enforcement purposes, including checking if a vehicle is registered or licensed. It is also used for electronic toll collection on pay-per-use roads and as a method of cataloguing the movements of traffic, for example by highways agencies.

<span class="mw-page-title-main">Dooring</span> Type of cycling accident

Dooring is the act of opening a motor vehicle door into the path of another road user. Dooring can happen when a driver has parked or stopped to exit their vehicle, or when passengers egress from cars, taxis and rideshares into the path of a cyclist in an adjacent travel lane. The width of the door zone in which this can happen varies, depending upon the model of car one is passing. The zone can be almost zero for a vehicle with sliding or gull-wing doors or much larger for a truck. In many cities across the globe, doorings are among the most common and injurious bike-vehicle incidents. Any passing vehicle may also strike and damage a negligently opened or left open door, or injure or kill the exiting motorist or passenger.

Vehicular communication systems are computer networks in which vehicles and roadside units are the communicating nodes, providing each other with information, such as safety warnings and traffic information. They can be effective in avoiding accidents and traffic congestion. Both types of nodes are dedicated short-range communications (DSRC) devices. DSRC works in 5.9 GHz band with bandwidth of 75 MHz and approximate range of 300 metres (980 ft). Vehicular communications is usually developed as a part of intelligent transportation systems (ITS).

Davi may refer to:

<span class="mw-page-title-main">Vehicular automation</span> Automation for various purposes of vehicles

Vehicular automation is the use of technology to assist or replace the operator of a vehicle such as a car, truck, aircraft, rocket, military vehicle, or boat. Assisted vehicles are semi-autonomous, whereas vehicles that can travel without a human operator are autonomous. The degree of autonomy may be subject to various constraints such as conditions. Autonomy is enabled by advanced driver-assistance systems (ADAS) of varying capacity.

Headway is the distance or duration between vehicles in a transit system. The minimum headway is the shortest such distance or time achievable by a system without a reduction in the speed of vehicles. The precise definition varies depending on the application, but it is most commonly measured as the distance from the tip of one vehicle to the tip of the next one behind it. It can be expressed as the distance between vehicles, or as time it will take for the trailing vehicle to cover that distance. A "shorter" headway signifies closer spacing between the vehicles. Airplanes operate with headways measured in hours or days, freight trains and commuter rail systems might have headways measured in parts of an hour, metro and light rail systems operate with headways on the order of 90 seconds to 20 minutes, and vehicles on a freeway can have as little as 2 seconds headway between them.

<span class="mw-page-title-main">Collision avoidance system</span> Motorcar safety system

A collision avoidance system (CAS), also known as a pre-crash system, forward collision warning system (FCW), or collision mitigation system, is an advanced driver-assistance system designed to prevent or reduce the severity of a collision. In its basic form, a forward collision warning system monitors a vehicle's speed, the speed of the vehicle in front of it, and the distance between the vehicles, so that it can provide a warning to the driver if the vehicles get too close, potentially helping to avoid a crash. Various technologies and sensors that are used include radar (all-weather) and sometimes laser (LIDAR) and cameras to detect an imminent crash. GPS sensors can detect fixed dangers such as approaching stop signs through a location database. Pedestrian detection can also be a feature of these types of systems.

<span class="mw-page-title-main">History of self-driving cars</span> Overview of the history of self-driving cars

Experiments have been conducted on self-driving cars since 1939; promising trials took place in the 1950s and work has proceeded since then. The first self-sufficient and truly autonomous cars appeared in the 1980s, with Carnegie Mellon University's Navlab and ALV projects in 1984 and Mercedes-Benz and Bundeswehr University Munich's Eureka Prometheus Project in 1987. In 1988, William L Kelley patented the first modern collision Predicting and Avoidance devices for Moving Vehicles. Then, numerous major companies and research organizations have developed working autonomous vehicles including Mercedes-Benz, General Motors, Continental Automotive Systems, Autoliv Inc., Bosch, Nissan, Toyota, Audi, Volvo, Vislab from University of Parma, Oxford University and Google. In July 2013, Vislab demonstrated BRAiVE, a vehicle that moved autonomously on a mixed traffic route open to public traffic.

Increases in the use of autonomous car technologies are causing incremental shifts in the responsibility of driving, with the primary motivation of reducing the frequency of traffic collisions. Liability for incidents involving self-driving cars is a developing area of law and policy that will determine who is liable when a car causes physical damage to persons or property. As autonomous cars shift the responsibility of driving from humans to autonomous car technology, there is a need for existing liability laws to evolve to reasonably identify the appropriate remedies for damage and injury. As higher levels of autonomy are commercially introduced, the insurance industry stands to see higher proportions of commercial and product liability lines of business, while the personal automobile insurance line of business shrinks.

The death of Elaine Herzberg was the first recorded case of a pedestrian fatality involving a self-driving car, after a collision that occurred late in the evening of March 18, 2018. Herzberg was pushing a bicycle across a four-lane road in Tempe, Arizona, United States, when she was struck by an Uber test vehicle, which was operating in self-drive mode with a human safety backup driver sitting in the driving seat. Herzberg was taken to the local hospital where she died of her injuries.

The impact of self-driving cars is anticipated to be wide-ranging in many areas of daily life. Self-driving cars have been the subject of significant research on their environmental, practical, and lifestyle consequences and their impacts remain debated.

Automated lane keeping systems (ALKS), also described as traffic jam chauffeurs, is an autonomous driving system that doesn't require driver supervision on motorways. ALKS is an international standard set out in UN-ECE regulation 157 and amounts to Level 3 vehicle automation. It is essentially a more robust combination of adaptive cruise control (ACC) and lane centering assist (LCA). When activated, it allows the driver to do non-driving tasks until alerted otherwise.

Regulation of self-driving cars, autonomous vehicles and automated driving system is an increasingly relevant topic in the automotive industry strongly related to the success of the actual technology. Multiple countries have passed local legislation and agreed on standards for the introduction of autonomous cars.

References

  1. "About – DAVI – Dutch Automated Vehicle Initiative". Archived from the original on 2019-11-27. Retrieved 2019-12-25.