2017
DOI: 10.1109/tsc.2015.2497241
|View full text |Cite
|
Sign up to set email alerts
|

MacroServ: A Route Recommendation Service for Large-Scale Evacuations

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
37
0

Year Published

2017
2017
2020
2020

Publication Types

Select...
5
3

Relationship

2
6

Authors

Journals

citations
Cited by 33 publications
(37 citation statements)
references
References 15 publications
0
37
0
Order By: Relevance
“…With the evolution of intelligent transportation system (ITS), a large number of sensors are deployed in city premises that collect traffic data on daily basis [107] [108]. The live streams captured through video cameras require real-time processing and minimal latency, and therefore, the information cannot be sent to the traditional cloud as the response Fig.…”
Section: Smart Livingmentioning
confidence: 99%
“…With the evolution of intelligent transportation system (ITS), a large number of sensors are deployed in city premises that collect traffic data on daily basis [107] [108]. The live streams captured through video cameras require real-time processing and minimal latency, and therefore, the information cannot be sent to the traditional cloud as the response Fig.…”
Section: Smart Livingmentioning
confidence: 99%
“…Shahabi and Wilson proposed a Capacity-Aware Shortest Path Evacuation Routing (CASPER) framework for emergency traffic evacuation, which utilizes an advanced traffic model and an intelligent routing algorithm to calculate the optimal evacuation plan for evacuees [5]. Khan et al used the Intelligent Transportation System (ITS) to compute the maximum traffic flow and the routes with least traffic congestion towards safe places for evacuees based on realtime traffic conditions [19]. Pourrahmani et al considered the uncertain evacuee demand at the pick-up source points by utilizing fuzzy credibility theory to present a genetic algorithm (GA) for handling the stated evacuation problem [20].…”
Section: Prescriptive Methodsmentioning
confidence: 99%
“…end if (18) end if (19) end if (20) when evacuees leave source vertices, be the to-be-solved evacuation planning route set, and be the historical evacuation route set.…”
Section: Proposed Algorithmmentioning
confidence: 99%
“…After effective storage and representation of big data, another major task is to transmit the reduced data over the underlying SG network efficiently [13]. In this context, authors in [14], [15] reviewed the key aspects of smart metering process with a focus on the type of data generated and techniques required to process it.…”
Section: Related Workmentioning
confidence: 99%
“…(T uni × n U ) e1e2....e k−1 e k e k+1 ....en (13) where, e 1 e 2 ....e k−1 e k e k+1 ....e n are the dimensional attributes of n th order tensor.…”
Section: Problem Formulationmentioning
confidence: 99%