Sustainable Traffic Management in an Urban Area: An Integrated Framework for Real-Time Traffic Control and Route Guidance Design

Luca, Stefano de; Pace, Roberta Di; Memoli, Silvio; Pariota, Luigi

doi:10.3390/su12020726

Cited by 22 publications

(8 citation statements)

References 40 publications

(74 reference statements)

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“…Traffic control strategies play a crucial role in managing urban transportation systems. Effective signal timing optimization and coordination can significantly improve traffic flow and reduce Fuel Consumption (FC) and emissions [16,17]. Urban environments often present unique traffic control challenges, such as shared left-turn lanes, pedestrian-vehicle conflicts, and the coordination of multimodal corridors.…”

Section: Literature Reviewmentioning

confidence: 99%

Investigation of Analyzable Solutions for Left-Turn-Centered Congestion Problems in Urban Grid Networks

Ardalan,

Sarazhinsky,

Dobrota

et al. 2024

Sustainability

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Traffic congestion caused by left-turning vehicles in a coordinated corridor is a multifaceted problem requiring tailored solutions. This study explores the impact of shared left-turn lanes within one-way couplets, particularly during peak hours, where high left-turn volumes, limited side street storage, and the overlapped green time between pedestrians and left-turners contribute to queue spillbacks, coordination interruption, and network congestion. The focus of this paper is on the solutions that can be easily analyzed by practitioners, here called “analyzable solutions”. This approach stands in contrast to solutions derived from “non-transparent” optimization tools, which do not allow for a clear assessment of the solution’s adequacy or the ability to predict its impact in real-world applications. This paper investigates the effects of employing two analyzable signal timing strategies: Lagging Pedestrian (LagPed) phasing and Left-Turn Progression (LTP) offsets. Using high-fidelity microsimulation, the authors evaluated different scenarios, assessing pedestrian delays, queue lengths, travel time index, area average travel time index, and environmental impacts such as Fuel Consumption (FC) and CO2 emissions. The effectiveness of the proposed strategies was comprehensively evaluated against the base case scenario, demonstrating considerable improvements in various performance measures, including approximately a 5% reduction in FC and CO2 emissions. Implementation of the LTP strategy alone yields substantial reductions in delays, the number of stops, the queue length for left-turning vehicles, travel times for all road users, and ultimately FC and CO2 emissions. This study offers innovative approach to addressing the complex and multifaceted problem of left-turn-centered congestion in urban grid networks using efficient and down-to-earth analyzable solutions.

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Section: Literature Reviewmentioning

confidence: 99%

Investigation of Analyzable Solutions for Left-Turn-Centered Congestion Problems in Urban Grid Networks

Ardalan,

Sarazhinsky,

Dobrota

et al. 2024

Sustainability

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“…Traffic congestion in Karachi, Pakistan, is estimated to cost fifty thousand dollars daily [1]. This congestion can be mitigated through sustainable system design, such as realtime optimization of traffic signal patterns [2]. Traffic flow is typically analyzed using speed and density [3].…”

Section: Introductionmentioning

confidence: 99%

Modeling Sustainable Traffic Behavior: Avoiding Congestion at a Stationary Bottleneck

Badshah

Khan²,

Gulliver³

et al. 2022

Civ Eng J

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Sustainable traffic behaviour is increasing in importance as traffic volume rises due to population growth. In this paper, a model for traffic flow at a stationary bottleneck is developed to determine the parameters that cause congestion. Towards this goal, traffic density, speed, and delay were acquired during peak and off-peak periods in the morning and afternoon at a stationary bottleneck in Peshawar, KPK, Pakistan. The morning and afternoon peak periods have high densities, low speeds, and considerable delays. Regression models are developed using this data. These results indicate that there is a linear relationship between density and time at the stationary bottleneck and a negative linear relationship between density and speed. Thus, an increase in density increases the time delay and reduces the speed. I comprehensive traffic delay model is characterized by a stationary bottleneck. The Kolmogorov-Smirnov (KS) test and P-values were used to identify the best-fit distribution for speed and density. The binomial and generalized extreme values are considered the best fits for density and speed. The results presented can be used to develop accurate simulation models for stationary bottlenecks to reduce congestion. Doi: 10.28991/CEJ-2022-08-11-02 Full Text: PDF

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“…Urbanization leads to a continuous increase in demand for urban infrastructures, including bridges, highways, water supply and sewage systems, electric and electronic pipelines and metro systems [1][2][3][4][5][6][7][8]. However, the service life of these infrastructural facilities often falls short of the designed life due to natural phenomena (e.g., earthquakes, floods, typhoons, ground subsidence) and lack of proper expertise and sustainable concept of the management layer [9][10][11][12][13][14][15][16]. Some facilities collapsed during the construction period, while others failed during their service life [17][18][19][20][21][22][23][24][25], which had harmful impacts on the social community and environment [26,27].…”

Section: Introductionmentioning

confidence: 99%

Lessons Learnt from Bridge Collapse: A View of Sustainable Management

et al. 2020

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Bridge failure is one of the worst infrastructural disasters. This paper investigates the risk of bridge infrastructures in the view of sustainable management. Statistics on bridge failures from 2009 to 2019 in China show that most of these failures are related to anthropic factors. The collapse of the Zijin Bridge on 14 June 2019 in Heyuan City of Guangdong Province, China is used as a case to perform detailed analysis. Superficially, bridge collapse is a technical problem rather than a management problem. However, the deep reason for this kind of bridge failure may be due to the lack of sustainable management. In order to verify this point of view, both fault tree analysis (FTA) and strategic environmental assessment (SEA) for the bridge failure and later impact on society are conducted. According to the FTA results, the failure of the arch foot is the direct trigger of the Zijin Bridge collapse. Since a lack of real-time monitoring, risk assessment and other management issues are potential factors causing bridge collapse, strategic environmental assessment (SEA) is used to investigate the management issues related to the economy, culture, human health and environmental sustainability in more depth. The low total SEA result shows poor project management and a high safety risk. Finally, the specific managerial measures are proposed to improve the sustainability of infrastructures.

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Sustainable Traffic Management in an Urban Area: An Integrated Framework for Real-Time Traffic Control and Route Guidance Design

Cited by 22 publications

References 40 publications

Investigation of Analyzable Solutions for Left-Turn-Centered Congestion Problems in Urban Grid Networks

Investigation of Analyzable Solutions for Left-Turn-Centered Congestion Problems in Urban Grid Networks

Modeling Sustainable Traffic Behavior: Avoiding Congestion at a Stationary Bottleneck

Lessons Learnt from Bridge Collapse: A View of Sustainable Management

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