Time Integrated TTC (TIT)

Description

Similar to the TET, the TIT [Minderhoud.2001] is a scenario level metric based on the TTC and is given as

\[\mathit{TIT}(A_1,A_2,\tau) = \int_{t_0}^{t_e} \mathbf{1}_{\mathit{TTC}(A_1,A_2,t) \le \tau}(\tau - \mathit{TTC}(A_1,A_2,t)) \mathrm{dt}.\]

It aggregates the difference between the TTC and a target value \(\tau\) in the time interval \([t_0, t_e]\). Therefore, the metric reflects criticality more accurately than the TET. As for the TET, the construction of the TIT is independent of the TTC and can be adapted for other metrics.

Properties

Run-time capability

Yes, but only retrospectively

Target values

None found

Subject type

Depends on the underlying metric, e.g. TTC

Scenario type

Depends on the underlying metric, e.g. TTC

Inputs

Inputs of the underlying metric, e.g. TTC, together with a target value \(\tau\)

Output scale

\([0,\infty)\), s \(\cdot\) x, where x is unit of the underlying metric (e.g. time squared s² for TTC), ratio scale

Reliability

Medium, but greater than TTC alone due to reductions in fluctuations by integration over time

Validity

Higher than TET as continuous information is not lost during aggregation [Minderhoud2001], but also dependent on TTC

Sensitivity

Comparable to TTC, possibly even reduced depending on \(\tau\)

Specificity

Comparable to TTC, increased compared to using only TTC without time integration [Guido2011]

Prediction model

Time window

Depends on the underlying metric

Time mode

Depends on the underlying metric, e.g. linear time in case of TTC