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Volumn 44, Issue 3, 2014, Pages 286-299

Decision analytics for parking availability in downtown pittsburgh

Author keywords

Analytics; History; Multistakeholders; Public sector; Smart parking; This paper was refereed

Indexed keywords


EID: 84902466558     PISSN: 00922102     EISSN: 1526551X     Source Type: Journal    
DOI: 10.1287/inte.2014.0743     Document Type: Article
Times cited : (27)

References (11)
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  • 2
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    • Caicedo, F.1
  • 4
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    • Predicting parking lot occupancy in vehicular ad hoc networks
    • DOI 10.1109/VETECS.2007.69, 4212497, 2007 IEEE 65th Vehicular Technology Conference - VTC2007-Spring
    • Caliskan M, Barthels A, Scheuermann B, Mauve M (2007) Predicting parking lot occupancy in vehicular ad hoc networks. VTC2007- Spring IEEE 65th Vehicular Tech. Conf. (IEEE, Piscataway, NJ), 277-281. (Pubitemid 47133951)
    • (2007) IEEE Vehicular Technology Conference , pp. 277-281
    • Caliskan, M.1    Barthels, A.2    Scheuermann, B.3    Mauve, M.4
  • 6
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    • February/ March
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  • 7
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    • Pittsurgh Downtown Partnership. Accessed February 1, 2014
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    • (2012) State of Downtown Pittsburgh 2012
  • 8
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    • Smart parking linked to transit: Lessons learned from field test in San Francisco Bay Area of California
    • Shaheen SA, Kemmerer C (2008) Smart parking linked to transit: Lessons learned from field test in San Francisco Bay Area of California. Transportation Res. Record: J. Transportation Res. Board 2063(1):73-80.
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    • Shaheen, S.A.1    Kemmerer, C.2
  • 9
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  • 10
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  • 11
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.