Stochastic Transportation Network Considering ATIS with the Information of Environmental Cost

Qiang Tu, Lin Cheng, Dawei Li, Jie Ma and Chao Sun
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Qiang Tu: School of Transportation, Southeast University, Nanjing 211189, China
Lin Cheng: School of Transportation, Southeast University, Nanjing 211189, China
Dawei Li: School of Transportation, Southeast University, Nanjing 211189, China
Jie Ma: School of Transportation, Southeast University, Nanjing 211189, China
Chao Sun: School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China

Sustainability, 2018, vol. 10, issue 11, 1-16

Abstract: The environment problem is a sustainable hot topic in the field of transportation research. With higher awareness of the environment problem, travelers tend to choose more environment friendly traffic modes and travel routes. However, for motor vehicle drivers, the environmental cost is an implicit cost, which is not easily perceived. With the help of the advanced traveler information system (ATIS), a fresh scheme was proposed to reduce the environmental cost of the transportation network, which incorporates the information of environmental cost into ATIS to guide drivers to choose more environment-friendly routes. To test the validity of the scheme, we adopted the theory of stochastic network user equilibrium to assign two classes of drivers on the transportation network and analyzed the impact on environmental cost after applying this scheme. Mathematically, a mixed stochastic user equilibrium (SUE) model was proposed to analyze this scheme. The corresponding algorithm was also proposed. Both the model and algorithm were tested in the numerical examples. Through the examples, the validity and feasibility of our proposed scheme were also identified. Our research provided some new ideas for traffic planners and managers to reduce environmental costs caused by traffic.

Keywords: transportation network; advanced transportation information system; environmental cost; mixed stochastic user equilibrium; logit model; method of successive average (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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