Determination of Parking Lots and Pedestrian Way Effects on the Queue Length and Emission Values in the New Campus of Adana Science And Technology University

Year 2017, Volume: 1 Issue: 3, 76 - 81, 23.06.2017

Anıl Erkan Gökhan Tüccar

https://doi.org/10.26701/ems.321487

Abstract

In this paper,
parking lots and pedestrian way effects on the queue length and emissions in
the new campus of Adana Science and Technology University were investigated. Three
different parking capacities were compared as 15, 10 and no parking lots.
Microsimulation software called VISSIM was used to evaluate parking lots and
pedestrian way effects. Queue length and vehicular emissions are two main
parameters that were analyzed. The simulation results showed that emission
values decrease as queue length values decrease. In addition, according to simulation
results when 10 parking lots are allowed instead of 15, queue length has decreased
as 6,815%, and emissions (such as CO, NOx) have decreased as 3,86%. If no
parking is allowed instead of 10 parking lots, queue length has decreased as 86,63%,
and emissions have decreased as 54,29%.

Keywords

VISSIM, Queue Length, Emissions, Parking

References

• PTV.VISSIM 5.40-03 User Manual. PTV Planning Transport Verkehr AG, Karlsruhe, 2012.
• Bambode, K., Gajghate, V., (2014). Traffic Signal Optimization for Important Routes In Nagpur City: A Review. International Journal of Emerging Technology and Advanced Engineering, vol. 2 no. 4, pp.511-514.
• Akay M.E., Akgüngör A.P. (2008). Modeling of Traffic Signals Syncronisation Effect For Vehicle Emission Reduction. Journal of Polytechnic, vol.11 no.1, pp.51-56.
• Gai Chunying (2005). Microscopic Simulation System VISSIM and Its Application to Road and Transportation. Highway, no.8, pp.118-121.
• Siddharth S., Ramadurai G. (2013). Calibration of VISSIM for Indian Heterogeneous Traffic Conditions. Procedia - Social and Behavioral Sciences, vol: 104, pp.380 – 389.
• Ratrout, T.N., Rahman S.M. (2008). A Comperative Analysis of Currently used Microscopic and Macroscopic Traffic Simulation Software. The Arabian Journal for Science and Engineering, vol. 34, no: 1B.
• Ishaque M.M. and Noland R. B. (2009). Pedestrian and Vehicle Flow Calibration in Multimodal Traffic Microsimulation. Journal of Transportation Engineering, pp.338-348.
• Lin D. , Yang X., Gao. C. (2013). VISSIM-based Simulation Analysis on Road Network of CBD in Beijing, China. 13th COTA International Conference of Transportation Professionals, pp.461-472.
• Pu, W., Long, L. and Yang, X. (2004). Traffic signal warrant study for stop-controlled intersections. Urban Traffic, vol.2, no.3, pp.7-9.
• Keay, L., Jastia, S., Munoz,a B., Kathleen, Turanoa A. , Cynthia, A. Munroc, Donald, D. Duncand (2009). Urban and rural differences in older drivers’ failure to stop at stop signs. Accident Analysis and Prevention, vol.41, no.5, pp.995-1000.
• Yıldızhan, Ş., Uludamar, E., Çalık, A., Dede, G. , Ozcanlı, M.(2017). Fuel properties, performance and emission characterization of waste cooking oil (WCO) in a variable compression ratio (VCR) diesel engine. European Mechanical Science, vol. 1(2), pp. 56-62