Locating Intelligent Sensors on a Transportation Network to Facilitate Emergency Response to Traffic Incidents
Tejswaroop Geetla,
Rajan Batta (),
Alan Blatt,
Marie Flanigan and
Kevin Majka
Additional contact information
Tejswaroop Geetla: University at Buffalo (SUNY)
Rajan Batta: University at Buffalo (SUNY)
Alan Blatt: CUBRC
Marie Flanigan: CUBRC
Kevin Majka: CUBRC
Chapter 8 in Applications of Location Analysis, 2015, pp 191-222 from Springer
Abstract:
Abstract According to the Federal Highways Administration (FHWA) study presented in Office of Highway Policy Information there are 254 million registered motor vehicles in the U.S. Each year this number continues to grow, increasing utilization of the road transportation network. In 2009 alone there were an estimated 2.2 million injuries related to traffic incidents and 33,808 fatalities from these injuries. In addition, traffic incident related fatalities ranked sixth in the list of preventable fatalities in the U.S.
Keywords: Global Position System; Road Segment; Data Fusion; Double Coverage; Intelligent Transportation System (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-3-319-20282-2_8
Ordering information: This item can be ordered from
http://www.springer.com/9783319202822
DOI: 10.1007/978-3-319-20282-2_8
Access Statistics for this chapter
More chapters in International Series in Operations Research & Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().