Drivers’　individual　difference　is　one　of　the　key　factors　to　influence　the　accuracy　of　driving　behavior　model.　The　accuracy　of　model　should　include　the　effect　characteristics　of　individual　difference　on　driving　behavior.　The　overtaking　process　was　the　research　object　to　study　the　individual　characteristics　of　driving　behavior.　The　operation　data　of　accelerator　and　steering　wheel　of　each　driver　was　analyzed　with　the　character　of　time　series.　Based　on　both　of　the　operation　data,　hidden　Markov　model　(HMM)　was　employed　to　model　the　individual　characteristics　of　driving　behavior.　Two　individual　models　were　built　for　each　driver,　one　trained　from　accelerator　data　and　one　learned　from　steering　wheel　angel　data.　The　models　can　be　used　to　identify　different　drivers　and　the　accuracy　can　reach　to　85　%.　It　proved　that　individual　difference　is　one　factor　which　cannot　be　ignored　in　driving　behavior　model,　and　HMM　has　effectiveness　in　modeling　it.　©　2014　IFSA　Publishing,　S.　L.