viitteet.bib

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BibTeX-esimerkkitietokanta tiedostoa gradumalli.tex varten

Jarmo Niemelä, 2014-10-15

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@online{Trafficsignal,
	key = {Traffic signal wikibook},
	title = {Fundamentals of Transportation Traffic Signals},
	date = {2015},
	year = {2015},
	url = {https://en.wikibooks.org/wiki/Fundamentals_of_Transportation/Traffic_Signals},
}

@article{liu2009real,
	title={Real-time queue length estimation for congested signalized intersections},
	author={Liu, Henry X and Wu, Xinkai and Ma, Wenteng and Hu, Heng},
	journal={Transportation research part C: emerging technologies},
	volume={17},
	number={4},
	pages={412--427},
	year={2009},
	publisher={Elsevier}
}
@online{Trafficwave,
    key = {Traffic wave wikipedia},
	title = {Traffic wave},
	date = {23 September 2015},
	year = {2015},
	url = {https://en.wikipedia.org/wiki/Traffic_wave},
	
}

@ARTICLE{List:2004, 
	author={List, G.F. and Cetin, M.}, 
	journal={Intelligent Transportation Systems, IEEE Transactions on}, 
	title={Modeling traffic signal control using Petri nets}, 
	year={2004}, 
	volume={5}, 
	number={3}, 
	pages={177-187}, 
	keywords={Petri nets;control engineering computing;reachability analysis;real-time systems;road traffic;traffic control;Petri nets;reachability tree analysis;structural analysis;traffic operation safety rules;traffic signal control;Artificial intelligence;Communication system traffic control;Control systems;Logic programming;Logic testing;Mathematical model;Optimal control;Petri nets;Safety;Traffic control;PN;Petri nets;traffic signal control}, 
	doi={10.1109/TITS.2004.833763}, 
	ISSN={1524-9050}, 
	month={Sept},}

@manual{idaho:1995,
	author = {Idaho Transportation Department},
	title = {IDAHO TRANSPORTATION DEPARTMENT TRAFFIC MANUAL},
	date = {1995},
	year ={1995},
	OPTlanguage = {English},
	OPTnumber = {00713099},
	OPTurl = {http://trid.trb.org/view.aspx?id=450465},
	OPTurldate = {2015},
}

@article{Anusha:2013,
	author = {Anusha, S. P., Lelitha Devi Vanajakshi and Anuj Sharma},
	title = {A Simple Method for Estimation of Queue Length},
	journal ={International Journal of Innovation Research in Science, Engineering and Technology},
	journaltitle = {International Conference on Energy and Environment-2013 (ICEE 2013)},
	date = {2013},
	year ={2013},
	OPTlanguage = {English},
	OPTmonth = {December},
}

@article{Liu2009412,
	title = "Real-time queue length estimation for congested signalized intersections ",
	journal = "Transportation Research Part C: Emerging Technologies ",
	volume = "17",
	number = "4",
	pages = "412 - 427",
	year = "2009",
	note = "",
	issn = "0968-090X",
	doi = "http://dx.doi.org/10.1016/j.trc.2009.02.003",
	url = "http://www.sciencedirect.com/science/article/pii/S0968090X09000230",
	author = "Henry X. Liu and Xinkai Wu and Wenteng Ma and Heng Hu",
	keywords = "Queue length estimation",
	keywords = "Traffic signal",
	keywords = "Shockwave",
	keywords = "High-resolution event-based data ",
	abstract = "How to estimate queue length in real-time at signalized intersection is a long-standing problem. The problem gets even more difficult when signal links are congested. The traditional input?output approach for queue length estimation can only handle queues that are shorter than the distance between vehicle detector and intersection stop line, because cumulative vehicle count for arrival traffic is not available once the detector is occupied by the queue. In this paper, instead of counting arrival traffic flow in the current signal cycle, we solve the problem of measuring intersection queue length by exploiting the queue discharge process in the immediate past cycle. Using high-resolution ?event-based? traffic signal data, and applying Lighthill?Whitham?Richards (LWR) shockwave theory, we are able to identify traffic state changes that distinguish queue discharge flow from upstream arrival traffic. Therefore, our approach can estimate time-dependent queue length even when the signal links are congested with long queues. Variations of the queue length estimation model are also presented when ?event-based? data is not available. Our models are evaluated by comparing the estimated maximum queue length with the ground truth data observed from the field. Evaluation results demonstrate that the proposed models can estimate long queues with satisfactory accuracy. Limitations of the proposed model are also discussed in the paper. "
}


@article{doi:10.3141/2130-14,
	author = {Xuegang Ban and Ryan Herring and Peng Hao and Alexandre Bayen},
	title = {Delay Pattern Estimation for Signalized Intersections Using Sampled Travel Times},
	journal = {Transportation Research Record: Journal of the Transportation Research Board},
	volume = {2130},
	number = {},
	pages = {109-119},
	year = {2009},
	doi = {10.3141/2130-14},	
	URL = {http://dx.doi.org/10.3141/2130-14},
	eprint = {http://dx.doi.org/10.3141/2130-14}
	
}

@article{Ska:2008,
	author = { Alexander   Skabardonis  and  Nikolas   Geroliminis },
	title = {Real-Time Monitoring and Control on Signalized Arterials},
	journal = {Journal of Intelligent Transportation Systems},
	volume = {12},
	number = {2},
	pages = {64-74},
	year = {2008},
	doi = {10.1080/15472450802023337},
	
	URL = { 
	http://www.tandfonline.com/doi/abs/10.1080/15472450802023337
	
	},
	eprint = { 
	http://www.tandfonline.com/doi/pdf/10.1080/15472450802023337
	
	}
	
}

@inproceedings{Turner:1993,
	author = {Turner, J and G Harahap},	
	title = {simplified saturation flow data collection methods},
	date = {1993},
	year = {1993},
	language ={english},
	OPTseries = {URBAN TRANSPORT IN DEVELOPING COUNTRIES - FULL TEXTS FROM CODATU VI - HELD TUNIS, 15-19 FEBRUARY 1993},
	pages = {65-76},
}

@book{HCM:2010,
	author = {National Research Council (U.S.). Transportation Research Board},
	title = {HCM 2010 : highway capacity manual},
	date = {2010},
	year ={2010},
	OPTintroduction = {HCM2010, which updates HCM2000, will significantly enhance how engineers and planners assess the traffic and environmental effects of highway projects by: providing an integrated multimodal approach to the analysis and evaluation of urban streets from the points of view of automobile drivers, transit passengers, bicyclists, and pedestrians; addressing the proper application of micro-simulation analysis and the evaluation of those results; examining active traffic management in relation to both demand and capacity; and exploring specific tools and generalized service volume tables, to assist planners in quickly sizing future facilities"--Transportation Research Board website},
	publisher = {Washington, D.C. : Transportation Research Board, ©2010},
}

@report{STM:2008,
	author = {Peter Koonce},
	title = {Traffic Signal Timing Manual},
	institution = {Kittelson Associates, Inc. },
	year = {2008},
	language = {english},
	number = {FHWA-HOP-08-024 },
	type ={final report},
	url = {http://www.signaltiming.com/The_Signal_Timing_Manual_08082008.pdf},
	urldate = {2015-10-29},	

}



 @misc{wiki:Signaltiming,
 	author = "Wikipedia",
 	title = "Signaltiming --- {W}ikipedia{,} The Free Encyclopedia",
 	year = "2015",
 	url = "https://en.wikipedia.org/wiki/Signal_timing",
 	note = "[Online; accessed 14-Oct-2015]"
 }
  @misc{FHWA:signaltiming,
  	author = "United States Department  Transportation",
  	title = "Federal highway administration",
  	year = "2015",
  	url = "http://ops.fhwa.dot.gov/publications/signal_timing/03.htm",
  	chapter = "3" ,
  	note = "[Online; accessed 14-Oct-2015]"
  }
  
  @manual{ImFlow:2014,
  	author = {Nikola Ljubisic},
  	
  	title = {ImFlow Central User Manual},
  	date = {2014-09-25},
  	year ={2014},
  }
  @INPROCEEDINGS{Aljaa:2014, 
  	author={Aljaafreh, A. and Al Oudat, N.}, 
  	booktitle={Computer Modelling and Simulation (UKSim), 2014 UKSim-AMSS 16th International Conference on}, 
  	title={Optimized Timing Parameters for Real-Time Adaptive Traffic Signal Controller}, 
  	year={2014}, 
  	pages={244-247}, 
  	language ={english},
  	keywords={adaptive control;road traffic control;scheduling;job scheduling algorithm;realtime adaptive traffic signal controller;time division multiplexing;timing parameter;traffic conflict;traffic flow efficiency;traffic intersection;traffic management;traffic signal phase;traffic signal sequence;traffic signal timing;traffic signal timing optimization;Adaptation models;Computational modeling;Delays;Mathematical model;Optimization;Vehicles;EDF;modeling and simulation;optimization;traffic signal}, 
  	doi={10.1109/UKSim.2014.84}, 
  	month={March},}
  
  @INPROCEEDINGS{Paru:2013, 
  	author={Paruchuri, V. and Chellappan, S. and Lenin, R.B.}, 
  	booktitle={Advanced Information Networking and Applications (AINA), 2013 IEEE 27th International Conference on}, 
  	title={Arrival Time Based Traffic Signal Optimization for Intelligent Transportation Systems}, 
  	year={2013}, 
  	pages={703-709}, 
  	language ={english},
  	keywords={air pollution;automated highways;optimisation;ITS;arrival time based solutions;arrival time based traffic signal optimization;fuel consumptions;greenhouse emissions;greenhouse gases;intelligent transportation systems;moderate load scenarios;road transportation;stopped delays;traffic arrival rates;Delays;Fuels;Optimization;Real-time systems;Roads;Vehicles;Optimization;Scheduling;Traffic Signals;Vehicular Networks}, 
  	doi={10.1109/AINA.2013.76}, 
  	ISSN={1550-445X}, 
  	month={March},}
  
  @INPROCEEDINGS{Hema:2013, 
  	author={Hemakumar, V. and Nazini, H.}, 
  	booktitle={Sustainable Energy and Intelligent Systems (SEISCON 2013), IET Chennai Fourth International Conference on}, 
  	title={Optimized traffic signal control system at traffic intersections using VANET}, 
  	year={2013}, 
  	pages={305-312}, 
  	language ={english},
  	keywords={adaptive control;delays;road traffic;road vehicles;scheduling;telecommunication control;vehicular ad hoc networks;Platooning algorithm;VANET;adaptive traffic control system;automated traffic signal control systems;data packet;equal delays;equal processing time;intelligent traffic control system;oldest job first algorithm;onboard location;optimized traffic signal control system;positional information;pre timed controller approach;speed sensors;traffic intersections;wireless radio;Conflict graphs;Webster's algorithm;online job scheduling;traffic signal control;vehicle-actuated traffic signal control;vehicular ad hoc network (VANET) simulation}, 
  	doi={10.1049/ic.2013.0330}, 
  	month={Dec},}
  
  
  @INPROCEEDINGS{Wolfe:2007, 
  	author={Wolfe, M. and Monsere, C. and Koonce, P. and Bertini, R.L.}, 
  	booktitle={Intelligent Transportation Systems Conference, 2007. ITSC 2007. IEEE}, 
  	title={Improving Arterial Performance Measurement Using Traffic Signal System Data}, 
  	year={2007}, 
  	pages={113-118}, 
  	keywords={traffic information systems;arterial performance;freeways;predicted travel time;signal coordination effectiveness;signal system loop detectors;total delay;traffic density;traffic management;traffic signal system;traveler information systems;Delay;Information management;Intelligent transportation systems;Management information systems;Measurement;Radar detection;Real time systems;Signal detection;Traffic control;USA Councils}, 
  	doi={10.1109/ITSC.2007.4357649}, 
  	language ={english},
  	month={Sept},}
  
@INPROCEEDINGS{Chanloha:2012, 
	author={Chanloha, P. and Usaha, W. and Chinrungrueng, J. and Chaodit Aswakul}, 
	booktitle={Computational Intelligence, Modelling and Simulation (CIMSiM), 2012 Fourth International Conference on}, 
	title={Performance Comparison between Queueing Theoretical Optimality and Q-Learning Approach for Intersection Traffic Signal Control}, 
	year={2012}, 
	pages={172-177}, 
	keywords={adaptive control;delays;learning (artificial intelligence);optimal control;queueing theory;road traffic control;D/D/1 queueing model;M/M/1 queueing model;Q-learning approach;intersection traffic signal control;macroscopic cell transmission model;microscopic AIMSUN traffic simulator;optimal split derivation;optimal traffic signal controls;queueing theory;vehicle delay;vehicle state dynamics;Delay;Jamming;Queueing analysis;Roads;Throughput;Vehicle dynamics;Vehicles;Q-learning;cell transmission model (CTM);queueing theory}, 
	doi={10.1109/CIMSim.2012.12}, 
	ISSN={2166-8531}, 
	month={Sept},
	language={english},
	}  
	
@manual{TFG:2015,
	author = {Petri Ahola},
	title = {Traffic flow garner system specification},
	date = {2015},
	year ={2015},
	language ={english},
}

@article{Shao:2012,
	author = {Shao Chang-qiao,Liu Xiao-ming },
	title = {Estimation of Saturation Flow Rates at Signalized Intersections},
	journaltitle = {Discrete Dynamics in Nature and Society},
	year = {2012},
	url ={http://dx.doi.org/10.1155/2012/720474},
	language ={english},
}