Model for route choice considering fuel economy

被引：0

作者：

Feng, Yuqin ^{[1
,2
]}

Leng, Junqiang ^{[3
,4
]}

Zhang, Yaping ^{[2
]}

Sun, Geng ^{[5
]}

Feng, Yanhong ^{[5
]}

机构：

[1] School of Automobile and Transportation Engineering, Heilongjiang Institute of Technology

[2] School of Transportation Science and Engineering, Harbin Institute of Technology

[3] School of Automobile Engineering, Harbin Institute of Technology

[4] School of Management, Harbin Institute of Technology

[5] School of Information Engineering, Dalian Ocean University

来源：

Leng, J. (lengjunq@tom.com) | 1600年 / Editorial Board of Journal of Harbin Engineering卷 / 33期

关键词：

Fuel economy; Generalized travel cost; Route choice; Travel time reliability;

D O I：

10.3969/j.issn.1006-7043.201009060

中图分类号：

学科分类号：

摘要：

To study the impact of fuel economy on route choice, the function of generalized travel cost was defined as the weighted sum of fuel consumption, travel time, and travel time reliability. The road network units fuel consumption models based on traffic saturation were established to quantify the fuel consumption cost index. The bureau of Public Roads (BPR) function and delay model in Highway Capacity Manual 2000 (HCM2000) were respectively used to quantify the link travel time and intersection delay. The reliability was introduced to quantify the corresponding cost due to fluctuation of travel time and delay. Moreover, the stochastic user equilibrium assignment model was formulated on the assumption of minimization of generalized travel cost. A small test road network as a numerical case was designed to demonstrate the practicality of the proposed model. The results show that the traffic assignment model based on the generalized travel cost may well reflect the route choice activity considering fuel consumption. The weighted coefficients have a conspicuous impact on route choice. The route choice based on fuel economy may decrease the road network fuel consumption by about 9%.

引用

页码：47 / 51

页数：4

共 12 条

[1] Chen J., Liu H., Cheng X., Et al., Travel time reliability based traffic assignment model with multiple user classes, Journal of Southwest JiaoTong University, 42, 1, pp. 115-119, (2007)
[2] Zhao L., Wang P., The research on travel cost in the traffic network planning, Journal of Hebei University of Technology, 32, 6, pp. 54-59, (2003)
[3] Tzeng G.H., Chen C.H., Multi-objective decision-making for traffic assignment, Transactions on Engineering Management, 40, pp. 180-187, (1993)
[4] Sugawara S., Niemeier D.A., How much can vehicle emissions be reduced? Exploratory analysis of an upper boundary using an emissions-optimized trip assignment, Transportation Research Record, 1815, pp. 29-37, (2002)
[5] Ericsson E., Larsson H., Karin B.F., Optimizing route choice for lowest fuel consumption-potential effects of a new driver support tool, Transportation Research Part C, 14, 6, pp. 369-383, (2006)
[6] Kyoungho A., Hesham R., The effects of route choice decisions on vehicle energy consumption and emissions, Transportation Research Part D, 13, pp. 151-167, (2008)
[7] Lim Y., Traffic assignment with the turning movements at signal intersection, Proceedings of the 1998 Conference on Traffic and Transportation Studies, pp. 369-378, (1998)
[8] Benedek C.M., Rilett L.R., Equitable traffic assignment with environmental cost functions, Journal of Transportation Engineering, 124, pp. 16-22, (1998)
[9] Silva C.M., Farias T.L., Christopher F.H., Et al., Evaluation of numerical models for simulation of real-world hot-stabilized fuel consumption and emissions of gasoline light-duty vehicles, Transportation Research Part D, 11, pp. 377-385, (2006)
[10] Smit R., Brown A.L., Chan Y.C., Do air pollution emissions and fuel consumption models for roadways include the effects of congestion in the roadway traffic flow, Environmental Modelling and Software, 23, 10-11, pp. 1262-1270, (2008)

← 1 2 →