Using Combined Bus Rapid Transit and Buses in a Dedicated Bus Lane to Enhance Urban Transportation Sustainability

Hoonsiri, Chinnawat; Chiarakorn, Siriluk; Kiattikomol, Vasin

doi:10.3390/su13063052

Cited by 10 publications

(7 citation statements)

References 34 publications

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“…However, because the aforementioned intermittent lanes are aimed towards buses and ordinary automobiles, which are already inefficient to pass by manually driven ordinary cars, the efficiency increase is still restricted. To promote optimal utilization of bus lanes, Hoonsiri [16] proposed intermittent bus lanes for BRT and regular buses.…”

Section: Available Studies On Enhancing the Utilisation Of Bus Lanesmentioning

confidence: 99%

“…When the penetration of CAVs is low, dedicated lanes for CAVs cannot be used efficiently and can even harm the overall performance of the transport network. Currently, bus lanes are widely used, but many of these lanes are located in older urban areas, where the number of lanes is limited and demand is high during commuting hours, making these hours "no or few buses in dedicated lanes and large queues in other lanes" [16,17]. The allocation of separate rights of way for CAVs based on existing bus lanes is a reasonable option for the design of transport networks in a connected environment.…”

Section: Introductionmentioning

confidence: 99%

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Research on the Deployment of Joint Dedicated Lanes for CAVs and Buses

Luo¹,

Du²,

Jia³

et al. 2022

Sustainability

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CAVs (Connected Autonomous Vehicles) can be effective in improving the efficiency of transportation, but heterogeneous multi-modal traffic flows may hinder this efficiency. This paper addresses the issue of heterogeneous traffic flows affecting the efficiency of transportation when CAVs enter the market, and proposes a joint dedicated lane for CAVs and buses. In the bi-level program model for the joint dedicated lane, the lower-level is aimed at the multi-modal traffic assignment problem, while the upper-level is aimed at system optimality. For the lower-level, the paper examines the characteristics of various traffic flows in a mixed traffic flow, investigates the impact of CAV mixing on the road link’s capacity, calculates the travel time of various traffic modes accordingly, and generates a generalized travel cost function for each mode, which is solved using the diagonalized weighted successive averaging method (MSWA) algorithm. The upper-level issue considers the continuity of dedicated and non-dedicated road segments, and the goal is to reduce the overall cost for all travelers by utilizing the dedicated road deployment scheme as the decision variable, which is addressed using a genetic algorithm. Finally, numerical examples and sensitivity analyses are designed accordingly. The numerical example demonstrates that the joint dedicated lane not only lowers the overall cost of the system, but also enhances the efficiency of CAV and bus travel, optimizing the road network and promoting bus and CAV travel modes. The sensitivity analysis shows that in order to set up a joint dedicated lane, the frequency of bus departures and the penetration of CAVs are conditions that must be considered, and that the benefits of a joint dedicated lane can only be fully realized if the frequency of bus departures and the penetration of CAVs are appropriate.

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Section: Available Studies On Enhancing the Utilisation Of Bus Lanesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Research on the Deployment of Joint Dedicated Lanes for CAVs and Buses

Luo¹,

Du²,

Jia³

et al. 2022

Sustainability

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“…Sustainable development is not a simple topic to grasp since it is measured in several ways. To provide only a few examples, transportation has an impact on things like fossil fuel (petroleum) reserves, the global atmosphere, local air quality, noise pollution, accessibility, congestion, and death rates according to (Ushakov et al, 2021a;2022b, Hoonsiri et al, 2021. A trillion and a half million barrels of oil have been used thus far.…”

Section: Introductionmentioning

confidence: 99%

Analysis for the sustainability of intelligent transport systems in the United States

Razakova

Shatila²,

Davtyan

2023

E3S Web of Conf.

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The economic, social, and ecological wellbeing of a society are all negatively impacted by the traffic congestion issue. Intelligent Transportation Systems (ITS) have been used to better sustainable transportation systems across the globe, helping to lessen the unsustainable effects of the clogged highway issue. The goal may be reached by examining the positive effects ITS deployments have had on urban areas in the United States. In addition to the statewide findings, we also do in-depth research on the economies of seven major Florida communities. A fuzzy-data envelopment analysis (DEA) technique is used instead of the conventional DEA approach for sustainability performance analysis in order to take into account the uncertainty in benefit and cost evaluations. While all of the ITS investments are very successful when looking at the cost-benefit ratio, the findings from the fuzzy-DEA method show that some of them are less efficient than others. This research's TBL findings give a fuller picture of the societal and economic benefits of ITS-related congestion reduction, including its drawbacks, indirect indicators, and environmental advantages. In addition, decision makers had positive findings from TBL analysis of ITS investments and comparisons of sustainability performance of ITS initiatives.

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“…BRT has been proved to be an effective infrastructure to improve the traffic efficiency and reduce energy consumption and pollution of mass transit services [51][52][53][54]. It has been adopted by more than 150 cities in the world [55].…”

Section: Introductionmentioning

confidence: 99%

“…It has been adopted by more than 150 cities in the world [55]. Hoonsiri et al [53] find that proper design of the BRT can reduce fuel consumption and emissions. Energy saving dispatching optimisation for BRT is one of the most efficient strategies for reducing traffic congestion and energy consumption [54].…”

Section: Introductionmentioning

confidence: 99%

Optimal road grade design based on stochastic speed trajectories for minimising transportation energy consumption

Liu

Feng

2021

IET Intelligent Trans Sys

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Reducing energy consumption, regardless of fuel or electricity, of ground vehicles is a paramount pursuit in academia and industry. Current research concentrates exclusively on the improvement of the vehicle, but accepts the road conditions as external influences. The innovation of this article is to consider the road conditions, particularly the grade angle, as design variables. It is assumed that the stochastic speed trajectories of all vehicles on the road can be modelled by a Markov chain. The expected value of the average energy consumptions of all vehicles running on the road is defined as the objective function. The optimisation problem is solved by dynamic programming with Markov model. Evaluations have been made on both simulated and measured speed trajectories. For the simulated speed trajectories, the optimal road grade profile designed by the method saves up to 22% energy compared with a flat road. For the measured speed trajectories, the optimal road grade profile saves up to 2.7% transportation energy compared with the actual road profile. Application of this method on building road could lead to considerable energy saving.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Using Combined Bus Rapid Transit and Buses in a Dedicated Bus Lane to Enhance Urban Transportation Sustainability

Cited by 10 publications

References 34 publications

Research on the Deployment of Joint Dedicated Lanes for CAVs and Buses

Research on the Deployment of Joint Dedicated Lanes for CAVs and Buses

Analysis for the sustainability of intelligent transport systems in the United States

Optimal road grade design based on stochastic speed trajectories for minimising transportation energy consumption

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