NDLI: Urban Transit Coordination Using an Artificial Transportation System

Content Provider	IEEE Xplore Digital Library
Author	Lefei Li Han Zhang Xiaofang Wang Wei Lu Zongping Mu
Copyright Year	2000
Abstract	An urban transit system usually consists of several modes, including busses, streetcars, a subway, and light rail. Unfortunately, coordination among different modes remains a challenging problem. Difficulties arise when modifying the transit network structure on a strategic level or when synchronizing timetables on a tactical level. Traditional transit network design and timetabling intend to solve a network-optimization problem based on static origin-destination (OD) information, with passenger assignment as a subproblem. In this paper, we propose an artificial urban transit system (AUTS) based on agent-based modeling and simulation. With AUTS, which is a special type of artificial transportation system (ATS), we are able to dynamically model the passenger's behavior and route choice and use the system to predict transit demand on a simplified transit network. The AUTS has the following important potential applications: forecasting transit flow; setting key parameters for urban transit networks - such as service frequencies and the capacity of subway trains - evaluating alternative modifications to subway rail and bus routes; and predicting the impact of special/emergency events to the transit network. We create a demonstration system of the Beijing transit network and present its applications in experiments.
Sponsorship	IEEE Intelligent Transportation Systems Society
Starting Page	374
Ending Page	383
Page Count	10
File Size	1098431
File Format	PDF
ISSN	15249050
Volume Number	12
Issue Number	2
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Light rail systems Costs Rail transportation Road transportation Frequency synchronization Predictive models Demand forecasting Cities and towns Automobiles Telecommunication traffic urban transit network Agent-based modeling and simulation (ABMS) artificial transportation system (ATS) transit coordination
Content Type	Text
Resource Type	Article
Subject	Automotive Engineering Mechanical Engineering Computer Science Applications

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

High capacity personal rapid transit system developments

Predictions of Urban Volumes in Single Time Series

Global railway news [Transportation Systems]

Urban traffic control structure based on hybrid Petri nets

Traffic-incident detection-algorithm based on nonparametric regression

The MOD:A Modular Urban Transportation System

Toward intelligent transportation systems for the 2008 Olympics

Mitigating the impact of light rail on urban traffic networks using mixed-integer linear programming

On the operation of automated ground transportation systems, part I: Urban problems and perspectives

Urban Transit Coordination Using an Artificial Transportation System

Similar Documents

High capacity personal rapid transit system developments

Predictions of Urban Volumes in Single Time Series

Global railway news [Transportation Systems]

Urban traffic control structure based on hybrid Petri nets

Traffic-incident detection-algorithm based on nonparametric regression

The MOD:A Modular Urban Transportation System

Toward intelligent transportation systems for the 2008 Olympics

Mitigating the impact of light rail on urban traffic networks using mixed-integer linear programming

On the operation of automated ground transportation systems, part I: Urban problems and perspectives

Urban Transit Coordination Using an Artificial Transportation System