Deriving environment-friendly speed limit scheme using an integrated traffic simulation framework

Yang, Yanni; Zhang, Xinxin; Zhang, Jun; Shang, Hongyan

doi:10.1080/10962247.2021.1874567

Cited by 5 publications

(3 citation statements)

References 51 publications

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“…The time series is long enough for both the pre- and post-policy periods ( Lopez Bernal et al, 2018b ). This is in contrast with a large proportion of the evidence on the association between speed and emissions and air pollution which arises from modelling studies ( Baldasano et al, 2010 ; Bigazzi and Rouleau, 2017 ; Yang et al, 2021 ).…”

Section: Discussionmentioning

confidence: 79%

Speed limits and their effect on air pollution in Mexico City: A quasi-experimental study

Texcalac-Sangrador,

Pérez-Ferrer,

Quintero

et al. 2024

Science of The Total Environment

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Section: Discussionmentioning

confidence: 79%

Speed limits and their effect on air pollution in Mexico City: A quasi-experimental study

Texcalac-Sangrador,

Pérez-Ferrer,

Quintero

et al. 2024

Science of The Total Environment

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“…For example, the new Corporate Average Fuel Economy Standards may cause consumers to choose lighter trucks, which provide less protection in accidents, which will result more road fatalities every year (Liu, 2017).The other side of it, traffic safety policies such as speed limits also affect fuel efficiency and pollutant emissions (Hosseinlou et al, 2015). The environmentally friendly speed limit scheme has attracted the attention of the academic community (Killeen and Levinson, 2017;Yang et al, 2021).In summary, it is reasonable and meaningful to consider economic, environmental, and safety issues when measuring the TFP of transport.…”

Section: Introductionmentioning

confidence: 99%

Sustainable total factor productivity of transport: considering safety issues and environmental impacts

Chen

2023

Environ Sci Pollut Res

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Economy, environment and safety are three important components of sustainable transport. This paper proposes a productivity measurement standard that comprehensively considers economic growth, environmental impact and safety issues, namely sustainable total factor productivity (STFP). We measure the growth rate of STFP in transport sector of OECD countries in terms of Malmquist-Luenberger productivity index by applying data envelopment analysis (DEA). It is found that the growth rate of total factor productivity in transport sector can be overestimated if safety is ignored. In addition, we discuss the influence of socio-economic factors on the measurement results, finding that there exists a threshold on the impact of environmental regulation intensity on the growth of STFP in transport. That is, STFP increases with environmental regulation intensity if it is smaller than 0.247, while STFP decreases if it is larger than 0.247.

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“…Traffic-calming measures can be combined with traffic-management measures to improve the overall traffic environment [7]. In this way, the speeds of vehicles are reduced, and a comfortable environment is provided for pedestrians and non-motorized vehicles [8]. Conventional traffic-calming measures focus on safety improvement via speed and flow reduction [9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

An Adaptive Traffic-Calming Measure and Effectiveness Evaluation in a Large Urban Complex of Shanghai, China

Wang

Yang²,

Jiang³

2022

Sustainability

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The rapid development of the motor vehicle brings convenience to our life; however, it also increases the burden on traffic networks and the environment, especially when road space is limited. Traffic calming has proved to be an effective solution for the improvement of traffic safety and travel quality. However, most traffic-calming measures are investigated and carried out without any adaptive ability. Such measures cannot adapt to changing traffic requirements. There is a mismatch between static measures and dynamic traffic. In this study, we propose an adaptive traffic-calming measure using deep reinforcement learning. Traffic volume is controlled at intersections according to the state of dynamic traffic. Then, we take a large urban complex (the Jinding nine-rectangle-grid area) in Shanghai, China, as an example. Further, based on applied static traffic-calming measures, we consider the characteristics of the nine plots, along with traffic demand, to design traffic-calming measures. Finally, the effectiveness of the measures is evaluated in SUMO (Simulation of Urban Mobility). The experimental results show that the proposed measure can increase driving speed under the speed limit and reduce traffic volume in a peak period. The results indicate that the proposed measure is an effective and novel solution for traffic calming in the large urban complex.

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Deriving environment-friendly speed limit scheme using an integrated traffic simulation framework

Cited by 5 publications

References 51 publications

Speed limits and their effect on air pollution in Mexico City: A quasi-experimental study

Speed limits and their effect on air pollution in Mexico City: A quasi-experimental study

Sustainable total factor productivity of transport: considering safety issues and environmental impacts

An Adaptive Traffic-Calming Measure and Effectiveness Evaluation in a Large Urban Complex of Shanghai, China

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