METHODOLO

GY

Multi-Agent Simulation? A simulated environment that models behavior and allows interaction between individual elements in a complex system

Data Gathering from Authorities and Field12 Simulation Programming and Design

Trac Policy Case Study3

Case 1

Random StopsCase 2

Fixed Stops

Case 3

4 Lane w/ Fixed Stops Case 4

4 Lane w/ Fixed Stops and Exclusive Lanes

QSS TB Generated Series Hybrid Vehicle

MATLAB Quasi-Static Simulation Toolbox Provides a fast and simple estimation of the fuel consump-tion for many powertrain systems

Series Hybrid Vehicle The electric motor become the prime mover of the system, while the internal combustion engine was optimized as a driver for the battery banks.

Case 2-14.92%

Fuel

+148.78%Passengers

Case 3-20.18%

Fuel

+724.05%Passengers

Case 4.A-33.41%

Fuel

+851.67%Passengers

Case 4.B+108.09%

Fuel

+898.44%Passengers

is a representation of GENERAL TRAFFIC POLICY in the PHILIPPINESCASE 1

SO HOW DO THE OTHER CASES FAIR AGAINST THIS SCENARIO?34.99 L/100Km

449

29.77 L/100Km

1117

27.93 L/100 Km

3700

23.30 L/100Km

4273

72.81 L/100Km4483

Legend

Fuel Consumption

Passenger Throughput

Case 4.A 4 Lane w/ Fixed Stops and Exclusive Lanes

Case 34 Lane w/

Fixed Stops

Case 2Fixed Stops

Case 1Random Stops

Case 4.B4 Lane w/ Fixed Stops and Exclusive Lanes

(High Jeep Count)

Adrian Ferma, Rondirch Mojica, Jules Polidario, Carl TanBachelor of Science in Computer Engineering

Multi-Agent Behavioral Modeling of Trac Applied to E-Jeepneys