Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 429-436 |
| Number of pages | 8 |
| Journal | IEEE Transactions on Intelligent Transportation Systems |
| Volume | 7 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 2006 |
| Externally published | Yes |
Keywords
- Adaptive cruise control (ACC)
- Intelligent vehicles
- Traffic-flow simulation
- Vehicle-vehicle communication
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