An Activity Based Demand Model for Large Scale Simulations

被引：8

作者：

Saleem, Mohammad ^{[1
]}

Vastberg, Oskar Blom ^{[1
]}

Karlstrom, Anders ^{[1
]}

机构：

[1] KTH Royal Inst Technol, Dept Urban Planning & Environm, Stockholm, Sweden

来源：

9TH INTERNATIONAL CONFERENCE ON AMBIENT SYSTEMS, NETWORKS AND TECHNOLOGIES (ANT 2018) / THE 8TH INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY INFORMATION TECHNOLOGY (SEIT-2018) / AFFILIATED WORKSHOPS | 2018年 / 130卷

关键词：

SCAPER; dynamic discrete choice model; travel demand model; estimation; sampling; MATSim;

D O I：

10.1016/j.procs.2018.04.090

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents the ongoing development of SCAPER, a random utility based travel demand model that consistently incorporates time decisions. The paper focusses on how SCAPER can be used for large scale simulations, and more specifically: 1. How computational speed of SCAPER is improved using sampling of locations, and how it influences the simulation results. 2. Interfacing SCAPER to MATSim simulation framework, and estimating the SCAPER model with travel times and travel costs produced by the simulation of Stockholm demand (simulated) over Stockholm network using MATSim. 3. Preliminary results from 1 and 2. (C) 2018 The Authors. Published by Elsevier B.V.

引用

页码：920 / 925

页数：6

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