TY  - JOUR
PY  - 2010//
TI  - Enhanced intelligent driver model to access the impact of driving strategies on traffic capacity
JO  - Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
A1  - Kesting, Arne
A1  - Treiber, Martin
A1  - Helbing, Dirk
SP  - 4585
EP  - 4605
VL  - 368
IS  - 1928
N2  - With an increasing number of vehicles equipped with adaptive cruise control (ACC), the impact of such vehicles on the collective dynamics of traffic flow becomes relevant. By means of simulation, we investigate the influence of variable percentages of ACC vehicles on traffic flow characteristics. For simulating the ACC vehicles, we propose a new car-following model that also serves as the basis of an ACC implementation in real cars. The model is based on the intelligent driver model (IDM) and inherits its intuitive behavioural parameters: desired velocity, acceleration, comfortable deceleration and desired minimum time headway. It eliminates, however, the sometimes unrealistic behaviour of the IDM in cut-in situations with ensuing small gaps that regularly are caused by lane changes of other vehicles in dense or congested traffic. We simulate the influence of different ACC strategies on the maximum capacity before breakdown and the (dynamic) bottleneck capacity after breakdown. With a suitable strategy, we find sensitivities of the order of 0.3, i.e. 1 per cent more ACC vehicles will lead to an increase in the capacities by about 0.3 per cent. This sensitivity multiplies when considering travel times at actual breakdowns.<p />  <p>Language: en</p>
LA  - en
SN  - 1364-503X
UR  - http://dx.doi.org/10.1098/rsta.2010.0084
ID  - ref1
ER  -