Advanced Driver Assistance Systems Technologies Research Articles

Introducing Connected Vehicles [Connected Vehicles

The term connected vehicles refers to applications, services, and technologies that connect a vehicle to its surroundings. Adopting a definition similar to that of AUTO Connected Car News, a connected vehicle is basically the presence of devices in a vehicle that connect to other devices within the same vehicle and/or devices, networks, applications, and services outside the vehicle. Applications include everything from traffic safety and efficiency, infotainment, parking assistance, roadside assistance, remote diagnostics, and telematics to autonomous self-driving vehicles and global positioning systems (GPS). Typically, vehicles that include interactive advanced driver-assistance systems (ADASs) and cooperative intelligent transport systems (C-ITS) can be regarded as connected. Connected-vehicle safety applications are designed to increase situation awareness and mitigate traffic accidents through vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications. ADAS technology can be based on vision/camera systems, sensor technology, vehicle data networks, V2V, or V2I systems. Features may include adaptive cruise control, automate braking, incorporate GPS and traffic warnings, connect to smartphones, alert the driver to hazards, and keep the driver aware of what is in the blind spot. V2V communication technology could mitigate traffic collisions and improve traffic congestion by exchanging basic safety information such as location, speed, and direction between vehicles within range of each other. It can supplement active safety features, such as forward collision warning and blind-spot detection.

Adaptive Planning for Dealing with Uncertainty in Implementing Advanced Driver Assistance Systems

Much has been written about the technologies of advanced driver assistance systems (ADAS)—electronic systems that support drivers in controlling their vehicles. Within this literature, the focus is usually on specific ADAS technologies and aspects of ADAS implementation. Broader pictures of ADAS implementation, in which the various ADASs, their possible consequences for transportation-system performance, and societal conditions for implementation are treated in an integrated way, are seldom presented. As such, the current value of these studies is highly limited with regard to public policymaking. In addition, full-scale implementation of ADAS is limited by uncertainties about its performance and driver acceptance. A flexible or adaptive policy is proposed that takes some actions right away and creates a framework for future actions that allow for adaptations over time as knowledge about the performance and acceptance of ADAS accumulates and critical events for ADAS implementation take place. The adaptive approach is illustrated in the context of ADAS for road-traffic efficiency.

Dealing With Uncertainty in Implementing Advanced Driver Assistance Systems: An Adaptive Approach

Much has been written about the technologies of Advanced Driver Assistance Systems (ADAS) – electronic systems that support the driver in controlling his vehicle in a better way.Within this literature, there is usually a focus on specific ADAS technologies and/or specific aspects of ADAS implementation. Broader pictures of ADAS implementation, in which the various ADAS, their possible consequences for transportation system performance, and societal conditions for implementation are treated in an integrated way, are seldom presented. As such, the current value of these studies is highly limited with regard to public policymaking. In this paper, we take a system view of policymaking for ADAS implementation. Within this view, policymaking concerns making choices regarding a system (e.g., the transport system) in order to obtain desired system outcomes.We apply this view to the field of policymaking with respect to ADAS implementation, showing that large uncertainties exist about future transport system contexts, the outcomes of ADAS policy decisions, and the valuation of the outcomes by stakeholders involved in or affected by ADAS policy decisions. In order to deal with these uncertainties, a flexible or adaptive policy is proposed that takes some actions right away and creates a framework for future actions that allow for adaptations over time as knowledge about ADAS accumulates and critical events for ADAS implementation take place. The adaptive approach is illustrated in two contexts: (1) ADAS for road traffic safety, and (2) ADAS for road traffic efficiency.