In　many　developing　countries,　mixed　traffic　is　the　most　common　type　of　urban　transportation;　traffic　of　this　type　faces　many　major　problems　in　traffic　engineering,　such　as　conflicts,　inefficiency,　and　security　issues.　This　paper　focuses　on　the　traffic　engineering　concerns　on　the　driving　behavior　of　left-turning　vehicles　caused　by　different　degrees　of　pedestrian　violations.　The　traffic　characteristics　of　left-turning　vehicles　and　pedestrians　in　the　affected　region　at　a　signalized　intersection　were　analyzed　and　a　cellular-automata-based　＂following-conflict＂　driving　behavior　model　that　mainly　addresses　four　basic　behavior　modes　was　proposed　to　study　the　conflict　and　behavior　mechanisms　of　left-turning　vehicles　by　mathematic　methodologies.　Four　basic　driving　behavior　modes　were　reproduced　in　computer　simulations,　and　a　logit　model　of　the　behavior　mode　choice　was　also　developed　to　analyze　the　relative　share　of　each　behavior　mode.　Finally,　the　microscopic　characteristics　of　driving　behaviors　and　the　macroscopic　parameters　of　traffic　flow　in　the　affected　region　were　all　determined.　These　data　are　important　reference　for　geometry　and　capacity　design　for　signalized　intersections.　The　simulation　results　show　that　the　proposed　models　are　valid　and　can　be　used　to　represent　the　behavior　of　left-turning　vehicles　in　the　case　of　conflicts　with　illegally　crossing　pedestrians.　These　results　will　have　potential　applications　on　improving　traffic　safety　and　traffic　capacity　at　signalized　intersections　with　mixed　traffic　conditions.