Iran Network and Transit Modeling and Forecasting Using EMME/2 Mahboobeh Zakeri Sohi ENTRAConsultants 21st International EMME Users Conference October, Address: Tel , Mobile: , Fax: Fourteenth Avenue, Suite 210, Markham, Ontario L3R 0E4

Iran Major Transportation Projects Using EMME/2 Tehran Transportation Master Plan Mashad Transportation Master Plan Shiraz Transportation Master Plan Kermanshah Transportation Master Plan Isfahan Transportation Master Plan Ghom Transportation Master Plan Mashad Aggregated Transit plan Optimization of Tehran Transit System Tehran Metro Studies Shiraz Light Rail Transit Study Mashad Bus Rapid Transit System Uromieh Transportation Master Plan

Transportation Planning Process Socio-Economic and Land Use O-D Survey Study Area Travel Demand Modeling, Trip Forecasting, Model Validation Detecting the Existing Situation (Do Nothing) Preparing Models Of Scenarios Network and Transit Modeling Trip Forecasting And Assignment Future/Scenarios Scenarios Assessment Screen line Data Land Use TDM and TSM Scenario Combination, Assessment and Final Suggested Plan Scenario Selection Evaluation Criteria Definition

O-D surveys Habitants, by Secondary School Students Intercity Bus Terminals Airport and Railway Station Cordon Goods Complementary Surveys Network and Transit inventory Screen line Path Travel time Trip Purposes Working, Education, Shopping, Recreational, Personal (Medical and …), Non home based, Pilgrimage Vehicle Types Car, Taxi, Jitney, Transit Bus, Private or Service Bus, Small Pick up Truck, Mini Bus, Motorcycle, Bicycle, Heavy vehicles

Auxiliary Software Network and Transit Modeling Software for: Data base/ Data Entry Controls/Checking Initial Information Reports EMME/2 Inputs Final Reports (Graphs or Tables using the EMME/2 Reports)

The Bus Routes Drawn Using the Auxiliary Network and Transit Modeling Software

Graphs Prepared by Auxiliary Network and Transit Modeling Software Using the EMME Outputs

Four-stage Travel Demand Modeling Procedure Daily Trip AttractionDaily Trip Generation Peak Hour O-D Matrices Mode Choice Auto & Transit Travel Demand Matrices (Trip Person) Adjusting Trip Attraction By Trip Generation Auto Travel Demand (Trip Vehicle) Aggregation of Auto Trip Matrices (Auto Equivalent Passenger Car) Auto & Transit Assignment Travel Demand Diversion Model for High Speed Transit System Daily Trip Distribution if N<a

Mode Choice Models The Trip Generated or Producted Is Divided Between the Vehicles by Their Utility Functions: Diagram of Trip Percent Shifted to Transit System From the Other Vehicles Due to the Metro

Multimodal Assignment Procedure N: The Number of Active Buses voleqtr: The Bus Equivalent Passenger Car vauteq: The Bus Equivalent Passenger Car Factor hdwy: Headway of Bus Rout lay1 and lay2: The stop over in the Beginning End of Rout timtr: Transit Travel Time for the Rout (A function of Auto Travel Time) speed: Initial Speed for the bus Rout len: The Length of Route Transit Assignment Auto assignment

Complementary Models Car Ownership Model Function of Income and Macro Policies Auto Travel Time Functions Function of Total Volume (Total Equivalent Passenger Car, Auto and Transit)) Intersection Delay Time Functions Function of Total Volume (Total Equivalent Passenger Car, Auto and Transit)) Transit Time Function Function of Auto Travel Time Dwell Time Models Dependent to Boarding Numbers, Bus Type, The Number of Bus Doors, Validated by a Survey Results Terminal Location Finding Models Based on Mathematical Programming Model and a Function of Potential of Boarding and Alighting at Nodes Air Pollutions and fuel models

Using the Transportation Model of Cities provided by EMME Transportation Studies and Projects Tehran Bus Network re-design in order to adjust with Metro Lines Updating the Transportation System Data Tehran Transportation System Data in 2003

Optimization the Efficiency of Tehran Transit System including Bus and Metro (Through Bus Network design in order to adjust with Metro Lines)

Underground Metro Routes of Tehran

General Specification of Tehran Metro Lines

Bus Network Design Procedure Using Mathematical Programming Model for Terminal Location Finding 1.Virtual transit network with the highest access for users 2.Travel and transit demand forecasting and assignment 3.Calculating the potential of nodes as terminal with the model using the outputs of EMME/2 4.Defining the number and location of terminals (output of Mathematical Programming Model) 5.Designing the transit routes by connection between terminals 6.Determine the bus stops location 7.Travel and transit forecasting and assignment for new transit system 8.Fleet allocation

The Structure of Designed Bus System to adjust with Metro Lines, 2001 The Number of Routes: TCTTS

Performance Indexes of Transit and Network in 3 Transit Scenarios

The Forecasted Transit (Bus and Metro) Passengers in Morning Peak hour, The Number of Passengers: TCTTS

The Forecasted Boarding and Alighting at Transit Stops in Morning Peak Hour, 2001 The number Boarding and Alighting: TCTTS

Updated Tehran Transportation Data in 2003

Length of Tehran Major Network in 2003 General Information of Tehran in 2003

Tehran Network Operational Indexes Summary in Morning Peak Hour, 2003

Tehran Network Auto Volume in Morning Peak Hour, 2003

Tehran Bus Transit General Information in 2003 Operational indexes of Transit System (Bus and Metro) of Tehran in Morning Peak Hour, 2003

Important Indexes of Transit System and User in Morning Peak Hour, 2003

Metro Passengers Trip Purposes Share During 7 to 11 AM

Tehran Transit Passengers in Morning Peak Hour, 2003

The Number of Boarding and Alighting in Tehran Transit Stops in Morning Peak Hour, 2003