Article
EFFECT OF CONGESTION ON FUEL COST AND TRAVEL TIME COST ON MULTI-LANE HIGHWAYS IN INDIA
DOI: 10.7708/ijtte.2015.5(4).10
5 / 4 / 458-472 Pages
Author(s)
Madhu Errampalli - Transportation Planning Division, Central Road Research Institute, Mathura Road, New Delhi 110025, India -
Abstract
The vehicles normally move at their free speeds when it is least impeded due to traffic flow under lean traffic (free flow) conditions. As traffic flow increases, the vehicles cannot sustain their free speeds due to interactions from other vehicles in the traffic stream. In addition to that the vehicles that are operating in the congested traffic conditions will consume more fuel than those operating in steady state traffic conditions for the same average speed. This leads to increase in travel time and fuel consumption of the vehicles and thereby adding to total road user cost (RUC). On the contrary, fuel consumption is also high at very high speeds under free flow traffic flow conditions leading to increase RUC. Considering these scenarios, the travel time and fuel cost of the vehicle due to the congestion and free flow conditions (uncongested) has to be necessarily modelled in order to estimate realistic assessment of RUC on Indian highways. In the present study, the congestion cost relationships have been developed between Congestion Factor, a ratio of cost under congestion and steady state conditions and Volume-Capacity Ratio by considering various vehicle types plying on varying widths of multi-lane highways (four, six and eight lane divided carriageways) through the collection of exhaustive time related and fuel related data. Time related data was collected through questionnaire survey method whereas fuel consumption data was collected using advanced sophisticated fuel flow measuring equipment (V-Box). The developed equations have been successfully applied to demonstrate their applicability in terms of estimating realistic effect of congestion on time and fuel cost by considering a section on NH-2 in Delhi. The analysis shows that the congestion effect is more significant on fuel cost for heavy commercial vehicles whereas it is more prominent on time cost for passenger vehicles. However, the congestion effect on combined fuel and time cost is more significant on multi-axle trucks followed by cars, two wheelers and buses.
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Acknowledgements:
The authors are thankful to the Director, Central Road Research Institute (CRRI), New Delhi, India for granting permission to publish this paper. The staff of CRRI who is also associated in data collection is also highly acknowledged.
References:
BTRE, 2007. Estimating Urban Traffic and Congestion Cost Trends for Australian Cities. Bureau of Transport and Regional Economics (BTRE). Department of Transport and Regional Services, Canberra, Australia.
CRRI, 2001. Updation of Road User Cost Data. Final Report Volume-I and II submitted to Ministry of Surface Transport (MOST), Central Road Research Institute (CRRI), New Delhi.
Deepa, C. 2011. Development of Congestion Cost Equations for Multi-Lane Highways. Masters’ Thesis, NIT Surathkal, India.
Goodwin, P. 2004. The economic costs of road traffic congestion. Discussion Paper, Rail Freight Group, UK.
Greenwood, I.D. 2003. A new approach to estimate congestion impacts for highway evaluation. University of Auckland, New Zealand.
IRC. 2009. Manual for Economic Evaluation of Highway Projects in India. IRC:SP-30, Indian Roads Congress (IRC), New Delhi.
Kadiyali, L.R. 1992. Study for Updating Road User Cost Data. Final Report submitted to Ministry of Surface Transport (MOST) and Asian Development Bank (ADB), Dr. L.R. Kadiyali & Associates, New Delhi.
Kumar, S. 2011. Development of Steady State Fuel Consumption Equations for Multi-Lane Highways. Masters’ Thesis, NIT Surathkal, India.
Transport Canada. 2006. The Cost of Urban Congestion in Canada. Transport Canada Environmental affairs, Canada.
USDOT. 2009. Assessing the Full Costs of Congestion on Surface Transportation Systems and reducing them through Pricing. Office of Economic and Strategic Analysis, U.S. Department of Transportation, USA.
Velmurugan, S.; Errampalli, M.; Ravinder, K.; Sitaramanjaneyulu, K.; Gangopadhyay, S. 2010. Critical Evaluation of Roadway Capacity of Multi-Lane High Speed Corridors under Heterogeneous Traffic Conditions through Traditional and Microscopic Simulation Models, Journal of Indian Roads Congress, 71(3): 235-264.
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