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85篇 您的检索式：作者名="KARLAFTIS M"

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	题名	作者	年代	出处	被引量
1	A multivariate state-space approach for urban traffic flow modeling and prediction 显示文摘	Stathopoulos A Karlaftis M G	2003	Transportation research Part C: Emerging technologies2003，11，2：	1
2	Effects of road geometry and traffic volumes on rural roadway accident rates显示文摘	Karlaftis M G Golias I	2002	Accident Analysis&Prevention2002，34，3：	1
3	Short-term forecasting: Overview of objectives and methods 显示文摘	VLAHOGIANNI E I GOLIAS J C KARLAFTIS M G	2004	Transport Reviews2004，24，5：	1
4	Statistical methods for detecting nonlinearity and non-stationarity in univariate short-term time-series of traffic volume 显示文摘	Vlahogianni E I Karlaftis M G Golias J C	2006	Transportation Research Part C: Emerging technologies2006，14，：	1
5	A DEA approach for evaluating the efficiency and effectiveness of urban transit systems 显示文摘	KARLAFTIS M G	2004	European Journal of Ope- rational Research2004，152，2：	1
6	Comparing traffic flow time series under fine and adverse weather conditions using recurrence-based complexity measures 显示文摘	VLAHOGIANNI E I KARLAFTIS M G	2012	Nonl Dyn2012，69，4：	1
7	Optimized and meta-optimized neural networks for short-term traffic flow prediction: a genetic approach 显示文摘	Vlahogianni E I Karlaftis M G Golias J C	2005	Transportation Re- search Part C :Emerging Technologies2005，13，：	1
8	Statistical methods versus neural networks in transportation research: Differences, similarities and some insights 显示文摘	Karlaftis M G Vlahogianni E I	2011	Transportation Research Part C: Emerging Tech- nologies2011，19，3：	1
9	A multivariate state space approach for urban traffic flow modeling and prediction 显示文摘	Stathopoulos A Karlaftis M G	2003	Transportation Research Part C2003，11，2：	1
10	Development of an object-oriented pedestrian traffic flow simulation environment for transport terminal planning显示文摘	ANAGNOSTOPOUL OS D KARLAFTIS M NIKOLAIDOU M	2003	Journal of Advanced Transportation2003，37，1：	1
11	Short- term traffic forecasting Where we are and where we're going 显示文摘	Vlahogianni E I Karlaftis M G Golias J C	2014	Transportation Research Part C: Emerging Technologies2014，43，1：	1
12	Containership routing with time deadlines and simultaneous deliveries and pick-ups显示文摘	KARLAFTIS M G KEPAPTSOGLOU K SAMBRACOS E	2009	Transportation Research Part E: Logistics and Transportation Review2009，45，1：	1
13	Opti- mized and meta-optimized neural networks for short-term traffic flow prediction: A genetic ap- proach显示文摘	Vlahogianni E I Karlaftis M G Golias J C	2005	Transportation Research C2005，13，3：	1
14	Statis- tical Methods for Detecting Nonlinearity and Non- stationarity in Univariate Short-Term Time-Series of Traffic olume显示文摘	Vlahogianni E I Karlaftis M G Golias J C	2006	Transportation Research Part C2006，14，：	1
15	Statistical methods versus neural networks in transportation research:Differences, similarities and some insights显示文摘	Karlaftis M G Vlahogianni E I	2011	Transportation Research Part C2011，，38：	1
16	Modeling duration of urban traffic congestion 显示文摘	Stathopoulos A Karlaftis M	2002	Journal of Transportation Engineering2002，128，6：	1
17	Efficiency measurement in pubiie transport:are findings specification sensitive? 显示文摘	KARLAFTIS M G TSAMBOULAS D	2012	Transpor- tation Research Part A: Policy and Practice2012，46，2：	1
18	A multivariate state space approach for urban traffic flow modeling and prediction 显示文摘	Stathopoulos A Karlaftis M G	2003	Transportation Research Part C:Emerging Technologies2003，，2：	1
19	The Structure of Public Transit Costs in the Presence of Multiple Serial Correlation显示文摘	KARLAFTIS M G MCCARTHY P S SINHA K C	1999	Journal of Transportation Statistics1999，2，2：	1
20	A spatial queuing model for the emergency vehicle districting and location problem 显示文摘	Geroliminis N Karlaftis M G Skabardonis A	2009	Transportation Research Part B2009，43，7：	1

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