Above studies demonstrate various statistical distributions that could be applied in modelling the time headways.
Griffiths and Hunt [15] opined that double displayed negative exponential distribution is appropriate to model the vehicular headways.
They applied six headway distribution models, namely, Erlang, negative exponential, Pearson Type III, Schuhl models, and their combinations and found Schuhl model appropriate for the headway distributions.
The present study, thus, creates a starting point of further initiatives aimed at establishing a robust method of modeling headways on two-lane rural highways with mixed traffic.
The present study, thus, creates a starting point of further initiatives aimed at establishing a robust method of modeling headways on two-lane roads with mixed traffic.
However, there have been a number of researchers who reported the use of several other models in order to explain the headway distribution pattern more explicitly.
However, there have been a number of researchers who reported the use of several other models in order to explain the headway distribution pattern more explicitly if the prevailing traffic is heterogeneous in character and car-following interaction is frequent at increased flow level.
Therefore, a two- degree-of-freedom model was adopted for the headway distance control unit to allow response and stability to be designed as independent parameters.
Panichpapiboon [11] investigated and characterized the time-headway distributions of vehicles travelling on an urban expressway in Bangkok, Thailand and concluded that GEV distribution is most effective in modelling time headways.
Some analyses not only on the statistics of the headway, but the fitted model exhibited somewhat different characteristics compared to those of the headway from uninterrupted facilities.
