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Warning and Control Systems

An increasing number of vehicle-based solutions that can warn the driver about impending safety risks are installed by automotive manufacturers in new vehicles – and some aftermarket devices are also available.

Infrastructure-based systems, which require communication exchange between the vehicle and roadside to provide warnings, are also being explored. Examples include intersection collision warning and Signal Phase and Timing (SPaT) Warnings. (See New and Emerging Applications and Warning Systems)

Vehicle-based warning systems can help drivers to avoid accidents. Their use in freight and public transport vehicles offers significant safety benefits and has the potential to accelerate more widespread deployment. Legislative options to require their deployment in these vehicles are under consideration.

The USA’s National Highway Traffic Safety Administration (NHTSA) has developed a classification for autonomous vehicles – that scores them on a scale of 0 to 4, depending on their level of automation:

  • Level 0 – No-automation – the driver is in complete and sole control of the primary vehicle controls (brake, steering, throttle, and motive power) at all times, and is solely responsible for monitoring the roadway and for safe operation of all vehicle controls
  • Level 1 – Function-specific Automation – the driver has overall control, and is solely responsible for safe operation – but certain functions are designed to assist specific driving tasks – such as electronic stability control (ESC), Adaptive Cruise Control and pre-charging the brakes in an emergency situation
  • Level 2 – Combined Function Automation – where a vehicle has at least two automated systems designed to work together (such as adaptive cruise control and lane centring)– but the driver is still responsible for monitoring the roadway and safe operation
  • Level 3 – Limited Self-driving Automation – where a vehicle can handle all driving functions – but the driver is expected to be available to take occasional control with sufficiently comfortable transition time
  • Level 4 – Full Self-Driving Automation – where vehicles are fully automated to perform all safety-critical driving functions and monitor roadway conditions for an entire trip – the driver provides destination or navigation input, but is not expected to be available for control at any time during the trip.

Connected Vehicles

Connected Vehicle Systems have become a key part of strategies to improve transport safety and efficiency in many regions. Several major field operational trials of the technology have been launched around the world over the last few years – in Europe, Japan and the USA – and others are planned. Collaborative discussions across regions are helping to accelerate development of systems. Regulatory authorities are monitoring the results and considering how best to support deployment.

At the simplest level, connected vehicle technologies fall into three major categories:

  • on-board devices
  • roadside devices
  • back-end systems – including security and data management capabilities.

Interactions may take place between any of the components – vehicle to vehicle (“V2V”), and vehicle to infrastructure (“V2I”) – and are standardised to allow any vehicle to link to any other vehicle or to any roadside unit. The figure below is an example of the key syetms, components and their interactions.

 

US Connected Vehicle Core Systems

US Connected Vehicle Core Systems

 

The primary focus of connected vehicle technologies has been on short range communications capabilities – which are optimised for very low latency (transmission delay) in support of safety applications.

There is a very broad range of applications which can be built on top of this framework, including – safety solutions such as collision avoidance, mobility solutions such as enhanced traveller information, and eco-solutions such as signal optimisation.

A fully networked transport system may allow much more fine-detailed management of traffic flows. Experimental systems which communicate from the roadside to the vehicle, the recommended speed and acceleration – based on environmental factors such as congestion and roadway geometry –are being tested in Japan under the ITS Green Safety initiative. (See http://www.its-jp.org/english/its-green-safety-showcase/)

Partially Automated Driving

The sensors required to enable vehicle warnings are increasingly being integrated into more sophisticated systems within the vehicle to automate certain driving functions. Drivers must still actively manage the driving process – but the vehicle can temporarily control functions such as braking and steering – either for the drivers’ convenience or to assist in an emergency situation. These systems can help avoid accidents and optimise the driving task by improving fuel efficiency.

The evolution from non-assisted driving to partially automated driving holds challenges that will need to be addressed during the transition to more and more highly automated vehicles:

  • drivers risk becoming over-reliant on new capabilities and their driving skills may deteriorate leading them to push their vehicles beyond their safe boundaries
  • newer drivers may not learn the skills necessary to drive older vehicles which are not equipped with the automated systems they are used to
  • drivers switching between vehicles automated and no-automated vehicles may not react to road situations in a manner appropriate to the capabilities of the car they are driving

Fully Automated Driving

Fully automated driving involves vehicles that can operate on public roads with no driver intervention. Many consider that removing driver control has the potential to dramatically improve travel safety, mobility and efficiency. For example, machine-driven vehicles may:
  • cause fewer accidents – because they can more reliably and quickly respond to emergency situations
  • increase roadway capacity – because they can safely drive faster and closer together than vehicles controlled by a drivers
  • improve mobility for the elderly and the disabled

There are many unknowns about the impact of large numbers of fully automated vehicles on the overall road transport network. While significant benefits are expected, there will also be many operational challenges. It is too early to determine exactly what they will be – and it is anyway likely be some time before such large scale deployment occurs. There is a lot of research being undertaken to understand the issues – with most major automotive manufacturers performing trials, as well as a number of publicly and privately funded initiatives. The availability of highly – and eventually fully – automated vehicles needs to be taken into account by transport planners.

 

Warning Systems

A number of major research projects and programmes such as COMPASS4D are actively investigating Vehicle to Infrastructure (V2I) solutions for warning applications. The COMPASS4D project (http://www.compass4d.eu/) brings together six European cities to deploy three services based on cooperative systems to warn drivers about an incident on the route ahead.

These systems are significantly more complex to implement compared to vehicle-based approaches, as they require deployment of standardised technology on both vehicles and the roadside infrastructure. They show great potential for reducing certain types of road incidents.

Obstacle Detection

Obstacle detection systems help make the driver aware of objects or people that may otherwise not be noticed. One example is a camera to help drivers with reversing a vehicle – making them aware of obstacles behind them. This type of technology is particularly valuable in avoiding low-speed accidents involving small children who may not be easily visible as a driver reverses down a driveway. The USA is actively considering mandating the installation of this technology in all new cars and light commercial vehicles.

Collision Warning and Crash Avoidance

A variety of technologies such as radar, lasers, and cameras are used in vehicles to detect potential collisions. Crash avoidance systems monitor for safety threats and intervene as necessary, generally on a time scale of under 3 seconds or so. Deployments vary, but most systems provide a visual warning to the driver. They may also pre-tension seatbelts and adjust vehicle braking behaviour to help the driver stop more quickly and safely. These systems have been commercially available in some markets since 2003.

Rollover Warning

Rollover accidents can cause significant loss of life, traffic delay and other expense. Commercial and passenger vehicles with high centres of gravity are particularly susceptible to this type of incident on exit ramps and tight curves. Rollover warning systems calculate the rollover risk based on vehicle data and other sensor input to help drivers adjust their driving before an accident becomes unavoidable.

Lane Departure Warning

LDW systems use video, laser and infrared to help ensure that drivers stay safely in their lanes. If unintended lane departure is detected, LDW systems typically alert the driver with an audible alarm or physical sensation (a haptic warning) such as resistance or vibration. In some cases, LDW systems may also adjust steering behaviour to help the driver safely return the vehicle to its lane. These systems are commercially available from a variety of manufacturers.

Signal phase and timing (SPaT) Warnings

SPaT warning systems are currently being developed in research projects and programmes around the world – including:
  • the European, eCoMove project’s work on traffic light coordination for ecoTraffic Management and Control (http://www.ecomove-project.eu/)
  • V21 in the USA
  • SPaT warnings are intended to inform drivers approaching a signalised intersection about the current signal status and time-to-change. In all cases traffic signals are equipped to capture this information which is transmitted to vehicles – either:
    • directly – via dedicated short range communications
    • indirectly via standard mobile communications to a central traffic operations center which loads the SPaT data to the web. The advantage of sharing SPaT data via the web is that it gives drivers the ability to look several intersections ahead

There are a variety of functions that this kind of information can enable – such as intersection safety, traffic management and public transport management. Specific applications include signal violation warnings, in-vehicle signal status display, vulnerable road user warnings (for example – pedestrians and cyclists), eco-driving support, and commercial and emergency vehicle support.

 

Coordinated Vehicle Highway Systems

Coordinated vehicle highway systems link vehicles to each other and the transport infrastructure via wireless communications – enabling them to share information for improved safety, mobility, and efficiency of operations. Pedestrians, motorcycles, cyclists and other users may also be equipped with handheld or wearable devices which allow them to interact with the system. For example, walking canes enabled with wireless technology to link to customised applications that provide walking directions or warn about obstacles.

These sorts of systems are being developed and tested. A number of technical, financial and organisational, legal and other institutional challenges need to be addressed before they can be deployed on a large scale. Key issues include:

  • technology development and standardisation
  • security and privacy
  • business and governance models
  • deployment and governance

Technology Development and Standardisation

Technologies for safety-critical data capture and communications must be developed to operate at appropriate levels of reliability and interoperability. Systems need to be future proof – able to handle new technology developments and be compatible and interoperable so long as consumer devices and infrastructure remain in service. (See About Standards)

Security and Privacy

There are security and privacy implications to enabling an unprecedented amount of communication between vehicles (peer to peer) and information sharing across the entire transport network. This requires the development of:

  • an end-to-end security approach – which can successfully deliver a very high level of protection and resilience against deliberate (malicious) or accidental interference (See Security Planning)
  • clearly defined codes of practice to protect the privacy of data relating to individual road users supported by an enforcement framework that is acceptable to users (See Privacy)

Business and Governance Models

Both the initial deployment and the on-going operation of connected vehicle highway systems must be financed in a sustainable way supported by effective organisational and communication structures between stakeholders – for both field and central office operations. (See Financing ITS and Inter-agency Working)

Deployment and Governance

As with any networked system, connected vehicle programmes are only effective if a sufficiently large number of vehicles participate. To achieve this objective, strategies to accelerate their deployment in consumer and commercial vehicle fleets will need to be developed. They may include some sort of incentive scheme or mandating their deployment.

Partially Automated Driving

Partially automated solutions are no longer experimental. In fact, they have proven so effective that they are being mandated in many locations. Vehicle automation is now able to handle increasingly complex tasks – such as parking. It is expected that this situation will continue to evolve, with more and more functionality becoming available to drivers over time.

Parking Assistance

Parking assistance systems – activated by the driver – help drivers to park their cars. They use proximity sensors – such as sonar and cameras – to determine the appropriate steering and braking needed to place the vehicle safely parallel to the curb or directly into a parking bay. In some cases, drivers still need to partially control the vehicle – in others the parking task is fully automated. Car manufacturers are continuing to invest in improving the systems available.

For public transport – such as guided buses – precision docking solutions using optical or magnetic sensors can improve passenger safety and the efficiency of boarding and disembarking. This can help to reduce overall travel times. Systems have been deployed in France, the Netherlands, and the USA.

Electronic Stability Control (ESC)

ESC technology combines steering and braking control to prevent vehicles from skidding. When the ESC system identifies that the vehicle is not going in the direction in which the driver is steering, it automatically applies brakes to the wheels to manage vehicle direction. In some cases, the ESC system may also manage engine power or adjust the transmission. These systems have been mandated in Australia, the USA and Europe on certain types of vehicles.

Adaptive/Active Cruise Control

Adaptive Cruise Control builds on traditional cruise control systems by adding sensors which track the distance to the car ahead. Drivers can set a desired following distance – and the ACC system will automatically slow or accelerate the vehicle to maintain that distance within a certain range of speeds and stopping distances. If action outside of that range is needed (such as a sudden hard stop), the ACC system will warn the driver to take action. An extended form of ACC – often referred to as “stop and go” – has become available. This type of system can take full control of acceleration, deceleration and braking at low speeds – to assist driving in heavy congestion.

Active Braking

Active Braking describes a range of systems which help to stop the vehicle quickly in the case of an emergency. In some cases, the system applies additional braking pressure to that already being applied by the driver in an emergency stop. Other systems use radar and image sensors to detect potential hazards and activate the brakes to operate at full pressure as soon as the driver applies them. Some systems will automatically apply the brakes without any intervention by the driver – if the vehicle sensors identify the need for an emergency stop.

Fully Automated Driving

Vehicle automation has made major advances over recent years. Many public and private sector research programmes worldwide have now successfully demonstrated that test vehicles can operate without driver intervention for thousands of miles on public highways and within cities. A Tri-lateral Working Group on Automation in Road Transportation (Japan, Europe, US) has been established to progress work in these programmes.

The legality of operating automated vehicles on public roadways has become an issue as more and more manufacturers want to test and commercialise them. Some countries and regions have put in place regulations that legalise these operations. Others are actively reviewing this issue.

There are major social, cultural and legal issues to resolve before a fully automated vehicle fleet can become a reality. For instance – how much control will the majority of drivers be prepared to concede? Who is liable if a system fails? At what stage should automated systems be made compulsory? (See Automated Highways and Liability)

Today’s automated vehicles rely on an array of complex advanced technologies. Examples of basic elements include:

  • a suite of environmental sensors – such as radar, LIDAR, image processing, and sonar – as well as internally-focused sensors which track criteria such as speed and direction
  • in-vehicle map databases – to anticipate upcoming roadway features which are out of sensor range
  • data buses (in-vehicle communication systems that transfer data from one component to another) – which share sensor input among control systems
  • centralised and de-centralised processors and software – which can rapidly combine sensor inputs to make and implement control decisions

Fully automated driving is rapidly moving from research to real-life deployment. A number of car manufacturers have announced that they will have substantially automated vehicles available for purchase by 2020 – although it is generally anticipated that drivers will still need to be prepared to take an active role in some situations. In the meantime, increasingly sophisticated partially automated systems continue to make their way into the marketplace.

Similar advances have been made in automating vehicle functionality in commercial freight fleets. Work is underway to develop “platooning” solutions, which allow trucks to travel together in tightly spaced groupings to increase the density of freight traffic without prejudicing safety. It also has the advantage of providing fuel economy benefits – in the range of 10% or more for the follower vehicle depending on the gap. Platooning research has a long history, and it continues to advance with recent demonstrations in Japan, Germany, Sweden, and the U.S. (See Case Study on Safe Road trains for the Environment (SARTRE))


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