Minimizing the Congestion Index and Mode Share of Traffic Congestion in Urban Area

Urbanization is heavily influenced by the transportation that becomes fundamental to mobility of human activities. However, unchecked growth in raises serious concerns about many issues such as congestions, limited parking, and public transit problem. This phenomenon also overwhelms Kuala Lumpur, capital city Malaysia has a high number car ownership. Consequently, traffic congestion urban area affected people living there terms lost time on road waste fuel consumption. In this regard, research aims minimize index mode share Lumpur based tested six travel demand strategy variables. The problem was model optimized using system dynamics (SD) optimization approach. Results developed SD shows 0.89863 while 52.87% 2030 compared baserun which are only 1.1021 21.7% for respectively. finding performed better result achieving targeted < 0.6 50% baserun. From managerial perspective, helps towards government’s targets through strategizing ways attracting discouraging usage private cars Lumpur.