Alleviate Traffic Congestion and Reduce Energy Consumption by Setting a Peak-Only Bus Lane on a Bottleneck-Constrained Highway
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With the great popularity of the public transit which is a kind of green transportation, peak-only bus lane is gradually implemented on the corridors of large cities to make the bus runs a privilege to go through the bottleneck, then the bus runs can keep a faster speed which will definitely attract more potential commuters. And thus this will alleviate the traffic congestion caused by private cars and reduce the energy consumption and emissions to some degree. In this paper, we investigate the impact of the peak-only bus lane on alleviating traffic congestion and reducing energy consumption by using bottleneck model with auto and bus modes. The peak-only bus lane will occupy the bottleneck’s capacity by a fixed amount just within a fixed peak hour period. While the capacity of the bottleneck for auto mode commuters is time-varying within the whole commuting period. It is assumed that the mode choice and the departure time choice are governed by the user equilibrium criterion and nobody can decrease his/her total cost by adjusting the mode or the departure time in the equilibrium state. The departure rates for both bus and auto modes are derived analytically. The travel cost and energy consumption are analyzed with different bus dispatch frequencies and bus lane capacities. The numerical results showed that the setting of the peak-only bus lane will descend the number of commuters who choose the auto mode, and thus decrease the system’s total travel cost and energy consumption to certain degree. The optimal setting of the road resources and the frequency for peak-only bus lane was also investigated. We believe that the results are helpful to the planning and operating of peak-only bus lane, and it’s useful to alleviate traffic congestion, reduce the energy consumption and protect the environment.
KeywordsBottleneck model Peak-only bus lane User equilibrium Energy consumption
This work is supported by National Key R&D Program of China (No. 2018YFB1600900), the National Natural Science Foundation of China (Grants No. 71621001, 71771021), and the Fundamental Research Funds for the Central Universities (Grant No. 2019JBM035).
- 1.Vickrey WS (1969) Congestion theory and transport investment. Am Econ Rev 59(2):251–260Google Scholar
- 2.Ludovic JA et al (2011) Capacity drops at merges: an endogenous model. Transp Res Part B 45(9):1302–1313Google Scholar
- 3.Guler S et al (2012) Strategies for sharing bottleneck capacity among buses and cars. Transp Res Part B 46(10):1334–1345Google Scholar
- 4.Ren HL, Xue Y, Long J, Gao ZY (2016) A single-step-toll equilibrium for the bottleneck model with dropped capacity. Transportmetrica B Transp Dyn 4(2):92–110Google Scholar
- 5.Huang HJ et al (2007) Modal split and commuting pattern on a bottleneck-constrained highway. Transp Res Part E 43(5):578–590Google Scholar
- 6.Zhang XN et al (2010) Analysis of user equilibrium traffic patterns on bottlenecks with time varying capacities and their applications. Int J Sustain Transp 4(1):56–74Google Scholar
- 7.Zhang S, Wu Y, Liu H (2014) Real-world fuel consumption and CO2, emissions of urban public buses in Beijing. Appl Energy 113(6):1645–1655Google Scholar
- 8.Silva C, Bravo J, Gonçalves G (2008) Bus public transport energy consumption and emissions versus individual transportation. Transp Land Use, Plann, and Air Qual Congr 147–160Google Scholar