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Article

COMBINATION OF MACROSCOPIC AND MICROSCOPIC TRANSPORT SIMULATION MODELS: USE CASE IN CYPRUS

DOI: 10.7708/ijtte.2014.4(2).08


4 / 2 / 220-233 Pages

Author(s)

Evangelos Mitsakis - Hellenic Institute of Transport (CERTH/HIT), Greece -

Georgia Aifadopoulou - Hellenic Institute of Transport (CERTH/HIT), Greece -

Josep Maria Salanova Grau - Hellenic Institute of Transport (CERTH/HIT), Greece -

Evangelia Chrysohoou - Hellenic Institute of Transport (CERTH/HIT), Greece -

Maria Morfoulaki - Hellenic Institute of Transport (CERTH/HIT), Greece -


Abstract

The present paper presents the transportation planning methodology applied in the city of Nicosia, Cyprus, within the framework of Nicosia’s “Integrated Mobility Master Plan”. Unique characteristics of the capital of Cyprus, such as the sparse coverage, low service quality and even lower market penetration of the public transport network, the inadequate parking policy applied and the car-centred mobility culture of the local citizens have provided the motivation for a “redesign” of the classic four-step transport modelling process by combining static and dynamic, macroscopic and microscopic transportation analysis models, in order to support the city’s decision makers.


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References:

Barcelo, J.; Casas, J.; Garcia, D.; Perarnau, J. 2006. A methodological approach combining macro, meso and micro models for transportation analysis. In Proceedings of the 13th World Conference on ITS, 2006 London, England, paper 2290.

 

Barcelo, J.; Codina, E.; Garcia, D. 2003. Scenario Analysis System: a software platform combining micro and macro approaches for transportation analysis. Available from Internet: http://www.inrosoftware.com/en/pres_pap/european/eeug02/EMME2_EUSG.pdf.

 

DENCO, CERTH/HIT, CTL, POLYTIA ARMOS. 2009a. Integrated Mobility Master Plan. Interim Report 1.

 

DENCO, CERTH/HIT, CTL, POLYTIA ARMOS. 2009b. Integrated Mobility Master Plan. Interim Report 2. Formulation and evaluation of alternative scenarios.

 

DENCO, CERTH/HIT, CTL, POLYTIA ARMOS. 2010a. Integrated Mobility Master Plan. Interim Report 3. Selection and development of the preferred traffic plan alternative.

 

DENCO, CERTH/HIT, CTL, POLYTIA ARMOS. 2010b. Integrated Mobility Master Plan. Final Report. Available from Internet: http://www.inro.ca/en/pres_pap/international/ieug98/octet_stream7.pdf.

 

Husch, D.; Albeck, J. 2003. Synchro 6, Traffic Signal Software – User Guide.

 

McFadden, L.D. 1974. The Measurement of Urban Travel Demand, Journal of Public Economics. DOI: http://dx.doi.org/10.1016/0047-2727(74)90003-6, 3(4): 303-328.

 

Mitsakis, E.; Giannopoulos, G.; Salanova, J.M. 2011. Combined Dynamic Traffic Assignment and Urban Traffic Control models, Procedia - Social and Behavioral Sciences. DOI: http://dx.doi.org/10.1016/j.sbspro.2011.08.049, 20(2011): 427-436.

 

Mitsakis, E.; Stamos, I.; Salanova, J.M.; Chrysohoou, E.; Aifadopoulou, G. 2013. Urban Mobility Indicators for Thessaloniki, Journal of Traffic and Logistics Engineering. DOI: http://dx.doi.org/10.12720/jtle.1.2.148-152, 1(2): 148-152.

 

Montero, L.; Codina, E.; Barcelo, J.; Barcelo, P. 2001. Combining macroscopic and microscopic approaches for transportation planning and design of road networks, Transportation Research C, 9(2001): 213-230.

 

Montero, L.; Codina, E.; Barcelo, J.; Barcelo, P. 2004. Combining macroscopic and microscopic approaches for transportation planning. Available from Internet: http://www.inro.ca/en/pres_pap/international/ieug98/octet_stream7.pdf.

 

Morfoulaki, M.; Mitsakis, E.; Chrysostomou, K.; Stamos, I. 2011. The contribution of urban mobility management to trip planning and the environmental upgrade of urban areas, Procedia - Social and Behavioral Sciences. DOI: http://dx.doi.org/10.1016/j.sbspro.2011.08.021, 20(2011): 162-170.

 

PTV. 2010. VISUM PTV Software. Available from Internet: http://www.ptvag.com.

 

Spear, B.D. 1977. Applications of new travel demand forecasting techniques to transportation planning. A study of individual Choice Models. U.S. Department of Transportation. Federal Highway Administration, Urban Planning Division.

 

Transportation Research Board. 2000. Highway Capacity Manual.

 

Ziliaskopoulos, A.K.; Waller, S.T. 2000. An Internetbased geographic information system that integrates data, models and users for transportation applications, Transportation Research Part C: Emerging Technologies. DOI: http://dx.doi.org/10.1016/S0968-090X(00)00027-9, 8(1-6): 427-444.


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