Sonstige
Filtern
Erscheinungsjahr
- 2016 (2) (entfernen)
Dokumenttyp
- Konferenzveröffentlichung (2) (entfernen)
Schlagworte
- Autonomes Fahren (1)
- Autonomes Fahrzeug (1)
- Autonomous driving (1)
- Autonomous vehicle (1)
- Bewertung (1)
- Classification (1)
- Demografie (1)
- Demography (1)
- Evaluation (assessment) (1)
- Fatality (1)
- Frontalzusammenstoß (1)
- Head on collision (1)
- Hospital (1)
- Impact study (1)
- Injury (1)
- Intelligent transport system (1)
- Intelligentes Verkehrssystem (1)
- Klassifizierung (1)
- Krankenhaus (1)
- Medical examination (1)
- Medizinische Untersuchung (1)
- Motorcyclist (1)
- Motorradfahrer (1)
- Public transport (1)
- Schweregrad (Unfall (1)
- Severity (accid (1)
- Social factors (1)
- Soziale Faktoren (1)
- Tödlicher Unfall (1)
- Verletzung (1)
- Verletzung) (1)
- Wirkungsanalyse (1)
- injury) (1)
- Öffentlicher Verkehr (1)
Institut
- Abteilung Fahrzeugtechnik (2) (entfernen)
In line with the new definition introduced by the European Commission (EC), the number of seriously injured road casualties in Germany for 2014 is assessed in this study. The number of MAIS3+ casualties is estimated by two different methodological approaches. The first approach is based on data from the German Inâ€Depth Accident Study (GIDAS), which is closely related to the German Road Traffic Accident Statistics. The second approach is based on data from the German TraumaRegister DGU-® (TRâ€DGU), which includes many more hospitals but not all MAIS3+ injuries.
Automated driving will provide many kinds of benefits - some direct and some indirect. The benefits originate at the individual level, from changes in the behaviour of drivers and travellers with regard to driving and mobility, ending up with benefits at the social level via changes in the whole transport system and society, where many of the current planning and operations paradigms are likely to be transformed by automated driving. There may also be disbenefits, particularly at a social level, for example in intensity of travel which could result in additional congestion and increased use of natural resources. There may also be unintended consequences. For example, we do not know the impacts on public transport: driverless vehicles could provide a means to a lower cost service provision, but the availability of automated cars could lead to more car travel at the expense of collective transport.