Connected Population Synthesis for Transportation Simulation

Transportation Research Part C: Emerging Technologies (2019) , 103, 1-16.

25 Pages Posted: 16 May 2019

See all articles by Danqing Zhang

Danqing Zhang

University of California, Berkeley - Department of System Engineering

Junyu Cao

University of California, Berkeley

Sid Feygin

affiliation not provided to SSRN

Dounan Tang

affiliation not provided to SSRN

Zuo-Jun Max Shen

University of California, Berkeley - Department of Industrial Engineering & Operations Research (IEOR)

Alexei Pozdnoukhov

affiliation not provided to SSRN

Date Written: April 29, 2019

Abstract

Agent-based modeling in transportation problems requires detailed information on each of the agents that represent the population in the region of a study. To extend the agent-based transportation modeling with social influence, a connected synthetic population with both synthetic features and its social networks need to be simulated. However, either the traditional manually-collected household survey data (ACS) or the recent large-scale passively-collected Call Detail Records (CDR) alone lacks features. This work proposes an algorithmic procedure that makes use of both traditional survey data as well as digital records of networking and human behavior to generate connected synthetic populations. The generated populations coupled with recent advances in graph (social networks) algorithms can be used for testing transportation simulation scenarios with different social factors.

Keywords: population synthesis, cellular data, Bayesian networks, structural learning, mixed integer programming, exponential random graph model, agent-based modeling, transportation simulation

Suggested Citation

Zhang, Danqing and Cao, Junyu and Feygin, Sid and Tang, Dounan and Shen, Zuo-Jun Max and Pozdnoukhov, Alexei, Connected Population Synthesis for Transportation Simulation (April 29, 2019). Transportation Research Part C: Emerging Technologies (2019) , 103, 1-16.. Available at SSRN: https://ssrn.com/abstract=3379496 or http://dx.doi.org/10.2139/ssrn.3379496

Danqing Zhang

University of California, Berkeley - Department of System Engineering ( email )

United States

Junyu Cao (Contact Author)

University of California, Berkeley ( email )

4141 Etcheverry Hall
Berkeley, CA 94720
United States

Sid Feygin

affiliation not provided to SSRN

Dounan Tang

affiliation not provided to SSRN

Zuo-Jun Max Shen

University of California, Berkeley - Department of Industrial Engineering & Operations Research (IEOR) ( email )

IEOR Department
4135 Etcheverry Hall
Berkeley, CA 94720
United States

Alexei Pozdnoukhov

affiliation not provided to SSRN

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