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Traffic and transportation problems in Delhi have been aggravating over the years. The present unidirectional flow of traffic during peak hours has resulted in inefficient utilization of network, increase in travel time and longer trip lengths. In this paper quality vision technology based Decision Support System for effective Management of Delhi Bus Transportation System (DBTM-DSS) is designed and developed which when used in an innovative way helps the Delhi Transport Corporation (DTC), Delhi Government and private operators in multi-criteria decision making along with (re)consideration of their ideologies, socio-cultural structures, and quality vision information based decisions. DBTM-DSS aims to support sustainable decision making and implementation by assisting a quality vision technology based communicative action that enhances co-operation by credibility, transparency and legitimacy for strategic planning, management control, operational planning and transaction processing. In particular, attention is focused on the five main components: Model Base Management (MBM) Subsystem comprising of Transportation Informatics Modules [Traffic Congestion (TC) module and Air Pollution Control (APC) module], Data Base Management (DBM) Subsystem, Central Vision Navigator (CVN) Board, Quality Vision Technology (QVT) Base comprising of Multi Criteria Iterative Futuristic Decision Process (MCIFDP) Methodology based Quality Decision Visualization (QDV) Desk and Dialogue Management Generation (DMG) Subsystem. Keywords— Delhi Bus Transportation System, Decision Support System, Quality Vision Technology Base, MCIFDP Methodology, Transportation Informatics Modules.

Quality Vision Technology Based Delhi Bus Transportation Management Decision Support System