Study of the Impact Roadside Parking has on Traffic Flow Characteristics - A VISSIM Simulation Based Approach

Madushanka, P. H. S.; Jayaratne, Dnd; Pasindu, H. R.

doi:10.1109/mercon50084.2020.9185354

Cited by 6 publications

(4 citation statements)

References 7 publications

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“…Lane changes initially increase with volume but then decrease as volume continues to rise. [ 73 ] W 74 Highway Examined the parking manoeuvres on the roadside on traffic flow. There is a 7% reduction in the capacity per 100 parking manoeuvres.…”

Section: Vissim Application Literature Reviewmentioning

confidence: 99%

“…[ 79 ] to determine the influence of driving fluctuation on traffic clashes and pollutant emissions. According to the literature [ 73 ], is the only study that uses the Wiedemann 74 model to examine the leverage of roadside parking manoeuvres on highway traffic flow. In the lane-change approach [ 65 ], used the lane-change model to determine a suitable lane-changing space for urban motorway off-ramp areas.…”

Section: Vissim Application Assessment and Evaluationmentioning

confidence: 99%

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Review of driving-behaviour simulation: VISSIM and artificial intelligence approach

Al-Msari,

Koting,

Ahmed

et al. 2024

Heliyon

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Section: Vissim Application Literature Reviewmentioning

confidence: 99%

Section: Vissim Application Assessment and Evaluationmentioning

confidence: 99%

Review of driving-behaviour simulation: VISSIM and artificial intelligence approach

Al-Msari,

Koting,

Ahmed

et al. 2024

Heliyon

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“…Em [Madushanka et al 2020], uma microssimulac ¸ão de tráfego no software PTV VISSIM é realizada para avaliar o cruising for parking no Sri-Lanka. Uma avenida principal da capital com vagas de estacionamento públicas e paralelas à via é usada como estudo de caso.…”

Section: Trabalhos Relacionadosunclassified

Um Modelo de Simulação de Tráfego para Avaliação do Efeito de “Cruising for Parking” na Região Central de Curitiba

Tebecherani,

Malucelli,

Lüders

2023

Anais Do VII Workshop De Computação Urbana (CoUrb 2023)

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O fenômeno de “cruising for parking” causa uma sobrecarga nas vias urbanas devido à procura por vagas de estacionamento. Esta sobrecarga é caracterizada pelo congestionamento do tráfego e alteração no tempo de viagem dos veículos, além de um maior consumo de combustível e emissão de gases de efeito estufa. Este artigo propõe um modelo de simulação de tráfego de uma área urbana da cidade de Curitiba para avaliar o efeito de “cruising for parking”. O modelo é implementado no pacote comercial PTV VISSIM de simulação de tráfego. Em um cenário com 30% e 50% de veículos buscando vagas, tem-se um aumento no atraso médio de deslocamento de 2 e 3 min, respectivamente. Já a emissão de CO2 tem um aumento de 42,9% com 50% dos veículos buscando vagas.

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“…Traffic flow factors of vehicle speeds, travel times, and queue delays were used to benchmark performances after the Wiedemann-99 based car-following model was built using actual traffic counts and calibrated for the field conditions. Another study [39] applied VISSIM using Wiedemann-74 model for simulating local street traffic to assess the impact of capacity optimisation strategies after the model was calibrated. Speedflow curves were used to determine the change in capacity with the change in car traffic and its impact on lane capacity and roadside parking manoeuvres.…”

Section: Introductionmentioning

confidence: 99%

A Microsimulation Modelling Approach to Quantify Environmental Footprint of Autonomous Buses

2022

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In this study a novel microsimulation-based methodology for environmental assessment of urban systems is developed to address the performance of autonomous mass-mobility against conventional approaches. Traffic growth and microsimulation models, calibrated using real data, are utilised to assess four traffic management scenarios: business-as-usual; public bus transport case; public-bus rapid transit (BRT) case; and, a traffic-demand-responsive-autonomous-BRT case, focusing on fuel energy efficiency, headways, fleet control and platooning for lifecycle analysis (2015–2045) of a case study 3.5 km long 5-lane dual-carriageway section. Results showed that both energy consumption and exhaust emission rates depend upon traffic volume and flow rate factors of vehicle speed-time curves; acceleration-deceleration; and braking rate. The results measured over-reliance of private cars utilising fossil fuel that cause congestions and high environmental footprint on urban roads worsen causing excessive travel times. Public transport promotion was found to be an effective and easy-to-implement environmental burden reduction strategy. Results showed significant potential of autonomous mass-mobility systems to reduce environmental footprint of urban traffic, provided adequate mode-shift can be achieved. The study showed utility of microsimulations for energy and emissions assessment, it linked bus network performance assessment with environmental policies and provided empirical models for headway and service frequency comparisons at vehicle levels. The developed traffic fleet operation prediction methodology for long-term policy implications and tracking models for accurate yearly simulation of real-world vehicle operation profiles are applicable for other sustainability-oriented urban traffic management studies.

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Study of the Impact Roadside Parking has on Traffic Flow Characteristics - A VISSIM Simulation Based Approach

Cited by 6 publications

References 7 publications

Review of driving-behaviour simulation: VISSIM and artificial intelligence approach

Review of driving-behaviour simulation: VISSIM and artificial intelligence approach

Um Modelo de Simulação de Tráfego para Avaliação do Efeito de “Cruising for Parking” na Região Central de Curitiba

A Microsimulation Modelling Approach to Quantify Environmental Footprint of Autonomous Buses

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