NDLI: Determining the sample size of probe vehicles in different traffic conditions on freeway

Content Provider	IEEE Xplore Digital Library
Author	Fengping Zhan Jian Zhang
Copyright Year	2015
Description	Author affiliation: Sch. of Transp., Southeast Univ., Nanjing, China (Fengping Zhan; Jian Zhang)
Abstract	This research aims to investigate the required sample size of probe vehicles that are necessary to report the real-time travel time with a desired statistical accuracy in different traffic conditions on freeways. The corridor studied is SR78-E in the North County of San Diego that connects Oceanside and Escondido. The field data used in this study was collected from PeMS during the period from 0:00 A.M. to 12:00 P.M. (11/19/2014). Based on the corridor information and traffic volume data, this study uses VISSIM to create the simulation scenarios to generate probe vehicle (PV) data for analysis. The relationship between traffic volume under different traffic conditions and required sample size has been studied. The results indicate that the percentage of PVs have some influence on data volume which, in turn, affects the accuracy of the data; To obtain the same accuracy data, small percentage of PVs is required in more congested traffic conditions while large percentage of PVs is needed in lighter traffic conditions; In order to obtain the same accuracy of traffic data, the number of PVs needed in congestion condition is more than that in lighter traffic condition though the percentage of PVs is higher in the latter condition than the former one.
Starting Page	87
Ending Page	93
File Size	1567292
Page Count	7
File Format	PDF
e-ISBN	9781479986941
DOI	10.1109/ICTIS.2015.7232170
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-06-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Probe vehicle Accuracy Sample size Traffic condition Detectors Traffic control Freeway Real-time systems Probes Vehicles
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

Probe vehicle sample sizes for real-time information: the Houston experience

Evaluation of probe vehicle sampling strategies for traffic signal control

Impact of Probe Vehicles Sample Size on Link Travel Time Estimation

Probe vehicle sampling for real-time traffic data collection

Application of Dynamic Traffic Flow Map by Using Real Time GPS Data Equipped Vehicles

Spatial and Temporal Analysis of Probe Vehicle-based Sampling for Real-time Traffic Information System

Monitoring a metropolitan freeway system using probe vehicles and random access radio channel

Probe Vehicle Runs or Loop Detectors?: Effect of Detector Spacing and Sample Size on Accuracy of Freeway Congestion Monitoring

Real-time urban traffic sensing with GPS equipped Probe Vehicles

Determining the sample size of probe vehicles in different traffic conditions on freeway

Similar Documents

Probe vehicle sample sizes for real-time information: the Houston experience

Evaluation of probe vehicle sampling strategies for traffic signal control

Impact of Probe Vehicles Sample Size on Link Travel Time Estimation

Probe vehicle sampling for real-time traffic data collection

Application of Dynamic Traffic Flow Map by Using Real Time GPS Data Equipped Vehicles

Spatial and Temporal Analysis of Probe Vehicle-based Sampling for Real-time Traffic Information System

Monitoring a metropolitan freeway system using probe vehicles and random access radio channel

Probe Vehicle Runs or Loop Detectors?: Effect of Detector Spacing and Sample Size on Accuracy of Freeway Congestion Monitoring

Real-time urban traffic sensing with GPS equipped Probe Vehicles

Determining the sample size of probe vehicles in different traffic conditions on freeway