Methodology for Simulating Heterogeneous Traffic Flow at Intercity Roads in Developing Countries: A Case Study of University Road in Peshawar

Akbar, Maryam; Khan, Rehanullah; Khan, Maria; Alam, Bashir; Elahi, Manzoor; Wali, Behram; Shah, Anwar‐ul‐Haq Ali

doi:10.1007/s13369-017-2860-0

Cited by 7 publications

(9 citation statements)

References 16 publications

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“… All performance indicators exhibited clear improvements, including the total travel time, overall delay, average number of stops, average speeds, queue lengths, and intersection capacity. [ 134 ] Simulating the Heterogenous traffic under varying traffic conditions Incorporating urban mobility dynamics of the Heterogeneous traffic through Microsimulation. Microsimulation clearly demonstrates that the heterogeneous urban traffic flow of Peshawar can be modelled with high accuracy under varying traffic conditions.…”

Section: Vissim Application Literature Reviewmentioning

confidence: 99%

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%

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

Al-Msari,

Koting,

Ahmed

et al. 2024

Heliyon

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“…Since, the intersection has been considered in urban setting, the speeds of each vehiclular class have been assigned accordingly. Some studies conducted in the similar setting were also reviewed and comparable speeds for each of the considred vehicular class were selected [36]- [38]. The highest value of 45 km/h was adopted for conventional cars and AVs, however, comparatively smaller values were used for conventional 2W, 3W and HGVs to reflect the real-world urban traffic conditions as given in Table 1.…”

Section: Speedmentioning

confidence: 99%

Performance of Autonomous Vehicles in Mixed Traffic under different Demand Conditions

Azam

Hassan

Puan

et al. 2022

Int. J. Automot. Mech. Eng.

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Autonomous Vehicles (AVs) are considered one of the potential solutions to future urban mobility with several promised benefits regarding safety and traffic operation. Despite of expected benefits, these vehicles will take decades to have full market penetration and before that, AVs will co-exist with Conventional Vehicles (CVs), which may affect the performance of AVs owing to different driving logic than CVs. The aim of this study is to quantify the impacts of varying penetrations of AVs when introduced in mixed traffic conditions. The study employed simulation environment VISSIM to study the different scenarios based on the percentage of AVs in mixed traffic, category of AVs and varying demand levels. The findings show that at lower demand levels (1000 veh/hr and 2000 veh/hr), CVs and three categories of AVs produced similar results. However, cautious and normal AVs negatively affect traffic operations when the demand level is increased. At demand-3 (3000 veh/hr), the penetration rates of cautious AVs greater than 50% shows negative impact on performance. At demand-4 (4000 veh/hr), even a small proportion (25%) of cautious AVs can negatively affect performance, and a similar effect is observed for normal AVs with a penetration rate greater than 75%. For speed, the minimum reduction with the increase in demand is observed for aggressive AVs, followed by conventional vehicles, normal AVs and cautious AVs. It can be concluded that the aggressive AVs produced better delays, queue length, speed and conflicts than CVs, cautious AVs and normal AVs at the highest demand levels.

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“…Stathopoulos and Karlaftis (2002) developed the log-logistic function to estimate the duration of congestion on a given road stretch. Most of the studies adopted recurrent and non-recurrent congestion (Dowling et al (2004)), (Skabardonis et al, (2003)), judgmental model (Ishida et al (2003)), regression model (Cottrell (1991)), fuzzy model (Hamad and Kikuchi 2002) and simulation program (Dewees (1978), G Gomez et al, (2004), Cardenas et al, (2018, Akbar et al, (2018)) for estimating the congestion level in a given corridor.…”

Section: Literature Reviewmentioning

confidence: 99%

Development of congestion index model and analysis of mitigation measures on urban arterials using microsimulation

Akshara¹

2021

European Transport/Trasporti Europei

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Traffic congestion is one of the main issues related to traffic engineering, planning, and policies that directly influence the economy, environment, and lifestyle in developing countries, particularly in India. This study's main objectives are to establish the congestion index model and analyze the various mitigation measures using microsimulation. The required data were collected from selected two corridors in Tiruchirappalli, India. A correlation test was performed to identify the significant parameters that influence traffic congestion. Congestion Indices and Travel time reliability measures were computed to quantify congestion. Using a conventional regression technique, the congestion index model was developed to predict the congestion levels. The validated model predicts the congestion accurately. The mentioned statistical tests and model development were performed in SPSS 25.0 software at 95% confidence interval. A VISSIM based microsimulation was calibrated and simulated various mitigation measures with possible scenarios. Thus, the mind-numbing traffic jams can be reduced, and as a result, a great loss for the Indian economy can be reduced.

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Methodology for Simulating Heterogeneous Traffic Flow at Intercity Roads in Developing Countries: A Case Study of University Road in Peshawar

Cited by 7 publications

References 16 publications

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

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

Performance of Autonomous Vehicles in Mixed Traffic under different Demand Conditions

Development of congestion index model and analysis of mitigation measures on urban arterials using microsimulation

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