SynphOnie

Synergies from physical and traffic planning models for multi-criteria optimization of multi-modal demand-oriented transport

Stuttgart University / Fraunhofer ITWM / RPTU Kaiserslautern-Landau / Passau University

Project Description

SynphOnie's Goal

Given a mobility demand and a road network, the task is to determine a "good" transportation offering.
"Good" means:

  • Short travel times for passengers
  • Low costs for operators
  • Low CO2 emissions, low energy consumption

Specific Questions:

  • Is a tram needed?
  • In which areas do we provide scheduled bus services?
    Which routes are established?
  • Where do we complement with ridepooling offers?
    How many vehicles are needed?
  • For which mobility desires do we recommend a car?

Illustration

Given: Road network and demand

Goal: Determine a good transportation offer

Evaluation of Transportation Offer

Required for this:

  • 🚌: Lines, frequencies, schedule, rotation plan, (duty roster)
    → Costs, traveled kilometers (energy and CO2)
  • 🚈: Lines, frequencies, schedule, rotation plan, (duty roster)
    → Costs, traveled kilometers (energy and CO2)
  • 🚐: Number of vehicles, route planning, typical routes for a day
    → Costs, traveled kilometers (energy and CO2)

Determine passenger behavior (given transportation offer under equilibrium constraints)

  • → 🚗 Costs, traveled kilometers (energy and CO2)
  • → Travel times

Challenge and Our Approach

Challenge:
  • Public transportation planning is challenging (including the timetable alone)
  • Routing under equilibrium constraints is challenging
  • Optimally determining 🚗🚐🚌🚈 together is challenging

⇒ We need a simplification

Idea:
Decomposition into
  • A coarse model and
  • Models for fine planning of 🚗🚐🚌🚈
Planned Approach:
  1. Coarse Model
  2. Fine Models for Tram 🚈, Bus 🚌, and Ridepooling 🚐
  3. Passenger Equilibrium Routing
  4. Evaluation

SynphOnie's Idea: