NDLI: Second-order fluid dynamics models for travel times in dynamic transportation networks

Content Provider	IEEE Xplore Digital Library
Author	Kachani, S. Perakis, G.
Copyright Year	2001
Description	Author affiliation: Oper. Res. Center, MIT, Cambridge, MA, USA (Kachani, S.)
Abstract	Concerns traffic congestion, especially in intelligent vehicle highway systems (IVHS); addressing such questions as how traffic patterns form and how congestion can be alleviated. Understanding drivers' travel times is key to this problem. We present macroscopic models for determining analytical forms for travel times. We take a fluid dynamics approach. We propose two second-order nonseparable macroscopic models for analytically estimating travel time functions : the polynomial travel time (PTT) model and the exponential travel time (ETT) model. These models incorporate second-order effects such as reaction of drivers to upstream and downstream congestion. Based on piecewise linear and piecewise quadratic approximations of the departure flow rates, we propose different classes of travel time functions for the first-order separable PTT and ETT models, and present the relationship between these functions. We show how the analysis of the first-order separable PTT model extends to the second-order model with nonseparable velocity functions for acyclic networks. We analyze the second-order separable ETT model where the queue propagation term is not neglected. We thus reduce the analysis to a Burgers equation and then to the heat equation.
Starting Page	251
Ending Page	256
File Size	591089
Page Count	6
File Format	PDF
ISBN	0780371941
DOI	10.1109/ITSC.2001.948664
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-08-25
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fluid dynamics Traffic control Equations Vehicle dynamics Intelligent vehicles Road transportation Analytical models Polynomials Piecewise linear techniques Piecewise linear approximation
Content Type	Text
Resource Type	Article

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

Dynamic travel choice models for urban transportation networks

Impact of VMS Route Recommendation on Road Network

Neural-Based Vehicle Travel Time Prediction Noised by Different Influence Factors

Notice of violation of ieee publication principles Dynamic vehicle routing and scheduling with variable travel times in intelligent transportation system

Traffic models for wireless communication networks

Research on dynamic virtual vision simulation of intelligent vehicle running

Dynamics of freeway traffic

Modeling dynamic vehicle age distribution in Beijing

A Dynamic Model for Acceleration Behaviour Description in Congested Traffic

Second-order fluid dynamics models for travel times in dynamic transportation networks

Similar Documents

Dynamic travel choice models for urban transportation networks

Impact of VMS Route Recommendation on Road Network

Neural-Based Vehicle Travel Time Prediction Noised by Different Influence Factors

Notice of violation of ieee publication principles Dynamic vehicle routing and scheduling with variable travel times in intelligent transportation system

Traffic models for wireless communication networks

Research on dynamic virtual vision simulation of intelligent vehicle running

Dynamics of freeway traffic

Modeling dynamic vehicle age distribution in Beijing

A Dynamic Model for Acceleration Behaviour Description in Congested Traffic

Second-order fluid dynamics models for travel times in dynamic transportation networks