The Development and Assessment of Free-Flow Speed Models under Heterogeneous Traffic in Facilitating Sustainable Inter Urban Multilane Highways
Autor: | Mohammed Bally Mahdi, Tuti Azmalia Azai, Lee Vien Leong, Wins Cott Goh |
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Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
050210 logistics & transportation
Environmental effects of industries and plants Renewable Energy Sustainability and the Environment Computer science free-flow speed vehicle classifications 05 social sciences Geography Planning and Development TJ807-830 010501 environmental sciences Management Monitoring Policy and Law TD194-195 01 natural sciences multilane highways Field (computer science) Renewable energy sources Transport engineering Environmental sciences Development (topology) Free flow heterogeneous traffic 0502 economics and business GE1-350 0105 earth and related environmental sciences |
Zdroj: | Sustainability Volume 12 Issue 8 Sustainability, Vol 12, Iss 3445, p 3445 (2020) |
ISSN: | 2071-1050 |
DOI: | 10.3390/su12083445 |
Popis: | The desired speed that drivers can drive without being obstructed or influenced by other road users is characterized as free-flow speed. However, free-flow speed can be influenced by other factors such as the characteristics of the vehicle, driver, road conditions, weather, and speed limits. Due to the country&rsquo s heterogeneous traffic conditions, this study aims to develop and assess free-flow speed models based on different vehicle classes and road characteristics in Malaysia. Data were sampled at 16 sites of multilane highways in Malaysia. Analyses of free-flow speed were conducted based on individual and grouped vehicle classes. Subsequently, multiple regression analyses were conducted based on these grouped vehicle classes to develop free-flow speed models. The findings show that the model with the grouping of all vehicles, which includes heavy vehicles and motorcycles, is the most suitable model as it yields the best results based on the performance indicators. The development of a free-flow speed model based on local traffic conditions, which can accurately estimate free-flow speed without having to conduct field measurements, is essential for saving time and costs in data collection. The findings from this study will contribute to improving the design of multilane highways and, ultimately, ensuring the sustainable environment of road networks. |
Databáze: | OpenAIRE |
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