A mobility-aware link enhancement mechanism for vehicular ad hoc networks
EURASIP Journal on Wireless Communications and Networking
A simulation study of traffic efficiency improvement based on Car-to-X communication
Proceedings of the sixth ACM international workshop on VehiculAr InterNETworking
QoS-aware roadside base station assisted routing in vehicular networks
Engineering Applications of Artificial Intelligence
Position control of a wheeled mobile robot including tire behavior
IEEE Transactions on Intelligent Transportation Systems
Safety issues in collaborative vehicle control
SARNOFF'09 Proceedings of the 32nd international conference on Sarnoff symposium
Connectivity statistics of store-and-forward intervehicle communication
IEEE Transactions on Intelligent Transportation Systems
Controller for urban intersections based on wireless communications and fuzzy logic
IEEE Transactions on Intelligent Transportation Systems
Emergency braking: a study of network and application performance
VANET '11 Proceedings of the Eighth ACM international workshop on Vehicular inter-networking
Cooperative controllers for highways based on human experience
Expert Systems with Applications: An International Journal
A multi-objective approach to evolving platooning strategies in intelligent transportation systems
Proceedings of the 15th annual conference on Genetic and evolutionary computation
Adaptive cruise control of a HEV using sliding mode control
Expert Systems with Applications: An International Journal
A reference architecture for cooperative driving
Journal of Systems Architecture: the EUROMICRO Journal
International Journal of Automation and Computing
| Hi-index | 0.00 |
Cooperative adaptive cruise control (CACC) is an extension of ACC. In addition to measuring the distance to a predecessor, a vehicle can also exchange information with a predecessor by wireless communication. This enables a vehicle to follow its predecessor at a closer distance under tighter control. This paper focuses on the impact of CACC on traffic-flow characteristics. It uses the traffic-flow simulation model MIXIC that was specially designed to study the impact of intelligent vehicles on traffic flow. The authors study the impacts of CACC for a highway-merging scenario from four to three lanes. The results show an improvement of traffic-flow stability and a slight increase in traffic-flow efficiency compared with the merging scenario without equipped vehicles