Generating activity based, multi-modal travel demand for SUMO

16 pages•Published: June 25, 2018

Joerg Schweizer, Federico Rupi, Francesco Filippi and Cristian Poliziani

Abstract

This article explains a travel demand generator developed within the SUMOPy frame- work which aims at providing person-based plans for the SUMO micro-simulator. The plan generation has four principal steps: 1.) a population needs to be generated, with specific attributes for each person; 2.) activities and their associated locations need to be identified, 3.) travel plans need to be generated, with the aim to connect the various activities in an efficient manner. 4.) A microsimulator determines the effective travel times for each plan which persons can use to modify or change their plan. In a first part, this article briefly describes other software packages which allow activity based demand models. It is further explained that the use of SUMO as microsimulator is particularly suited to evaluate multi-modal travel plans.
The article then focuses on SUMOPy’s activity based demand model and in particular on the population synthesizer, plan generation and plan selection step. SUMOPy’s activity based demand framework has two distinguishing features: 1.) the time travel budget can be controlled during the population synthesizing process; 2.) The concept of abstract mobility strategies – each person may have different feasible plans, following different mobility strategies. The SUMO micro-simulator is used to evaluate the effective travel time of plans for the entire population. Regarding the plan selection method, a method is described if and how persons change plans based on the the effective travel times experienced after each simulation run. It is shown by means of a synthetic network and a realistic city network that the proposed algorithm is converging and total travel times are decreasing after each simulation run until an equilibrium is reached. Some preliminary attempts were undertaken to improve the speed of convergence. For both of the analyzed networks an equilibrium has been reached after approximately 10 simulation runs.

Keyphrases: activity based model, micro simulation, sumo

In: Evamarie Wießner, Leonhard Lücken, Robert Hilbrich, Yun-Pang Flötteröd, Jakob Erdmann, Laura Bieker-Walz and Michael Behrisch (editors). SUMO 2018- Simulating Autonomous and Intermodal Transport Systems, vol 2, pages 118-133.

Links:	https://easychair.org/publications/paper/G82Q
	https://doi.org/10.29007/794z

BibTeX entry

@inproceedings{SUMO2018:Generating_activity_based_multi,
  author    = {Joerg Schweizer and Federico Rupi and Francesco Filippi and Cristian Poliziani},
  title     = {Generating activity based, multi-modal travel demand for SUMO},
  booktitle = {SUMO 2018- Simulating Autonomous and Intermodal Transport Systems},
  editor    = {Evamarie Wießner and Leonhard Lücken and Robert Hilbrich and Yun-Pang Flötteröd and Jakob Erdmann and Laura Bieker-Walz and Michael Behrisch},
  series    = {EPiC Series in Engineering},
  volume    = {2},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2516-2330},
  url       = {/publications/paper/G82Q},
  doi       = {10.29007/794z},
  pages     = {118-133},
  year      = {2018}}

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