Empirical analysis of gross vehicle weight and free flow speed and consideration on its relation with differential speed limit

Saifizul, Ahmad; Yamanaka, Hideo; Karim, Mohamed Rehan

doi:10.1016/j.aap.2010.12.013

Cited by 37 publications

(24 citation statements)

References 8 publications

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“…There is approximately a 26% increase in CO 2 (i.e., increase in fuel consumption) and a 46% increase in CO. With respect to NO x , it was interesting to note that there was approximately a 23% decrease under urban conditions, compared with highway conditions, due to higher combustion temperature during the motorway cycle, favoring NO formation. Other researchers found that there was a significant relationship between free flow speed of a heavy vehicle and gross vehicle weight [6]. The emission trend of Box Chevrolet shows high concentrations of NO x , CO, and HC, similar to the emission trend of the frequently operated Ford Victoria, for example (Table 3).…”

Section: On-road Data Measurement and Driver Behaviorsupporting

confidence: 54%

“…According to statistical analysis, we can conclude that vehicle weight had no significant effect on pollutant emissions profile. Other researchers found that there was a significant relationship between free flow speed of a heavy vehicle and gross vehicle weight [6]. Their results suggest that the mean and variance of free flow speed decreased with an increase in gross vehicle weight by an amount unrelated to size and shape for vehicle weight.…”

Section: On-road Data Measurement and Driver Behaviormentioning

confidence: 88%

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Tailpipe emissions from passenger cars of different models: What are the main influencing factors?

Al-Rifai

Elmi

Khan

2012

Env Prog and Sustain Energy

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Urban air pollution is considered to be a critical environmental and public health issue, with the transportation sector being a major contributor. This study focuses on tailpipe pollutant emissions from light‐duty vehicles in real driving conditions. Our principle objective was to identify primary factors that affect the emission rates under different driving styles, fuel grade, engine transmission, and checking/maintenance practices. We observed that emission rates were consistently lower with frequent acceleration and deceleration associated with aggressive driving (AD) compared to relaxed driving (RD) style. This indicates that vehicles driven in town (which are typically driven in a relaxed manner) may require more regular maintenance than vehicles driven on motorways (which are typically driven in an aggressive manner). All pollutant emissions were higher in manual transmission vehicles on both urban roads and motorways than in automatic transmission vehicles. The information generated from this research can help establish framework for pollution mitigation efforts, such as inspection and maintenance programs, and in developing traffic pollution management strategies for national use. © 2012 American Institute of Chemical Engineers Environ Prog, 32: 335‐343, 2013

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Section: On-road Data Measurement and Driver Behaviorsupporting

confidence: 54%

Section: On-road Data Measurement and Driver Behaviormentioning

confidence: 88%

Tailpipe emissions from passenger cars of different models: What are the main influencing factors?

Al-Rifai

Elmi

Khan

2012

Env Prog and Sustain Energy

View full text Add to dashboard Cite

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“…Consequently, greater safety can be achieved. There are many factors involved in HV accidents, as reported in [3,4]. Approximately 20% of heavy vehicle crash avoidance manoeuvres involved braking.…”

Section: Introductionmentioning

confidence: 99%

Dynamic simulation of brake pedal force effect on heavy vehicle braking distance under wet road conditions

Zamzamzadeh¹,

Saifizul²,

Ramli³

et al. 2022

Int. J. Automot. Mech. Eng.

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Recent experiences have shown that one of the main causes of heavy vehicle crashes is the braking performance. In particular, when having to decelerate in an emergency situation, such as when an unexpected object is in the road. Thus, the capability of a vehicle to come to a safe stop is one of the most important factors in preventing more accidents. Safe braking distance is influenced by many factors, such as brake pedal force, the vehicle's loading conditions, the travel speed and the road surface conditions. The aim of this study was to analyse the effect of the driver's brake pedal force on braking distance during an emergency situation, allowed for a wide range of heavy vehicle's GVW and speed. This study is carried out by using a multi-body dynamics simulation of a Single Unit Truck based on the validated vehicle model. Braking performance was estimated in terms of braking distance on a straight road with a wet surface. The findings from the braking distance simulation suggest a non-linear relationship between brake pedal force and braking distance. Finally, it reveals that, depending on the wheel lock-up situation, braking distance increases with increasing brake pedal force, and that the braking distance on a wet road is significantly affected by both the heavy vehicle's GVW and speed.

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“…The prospect of using the WIM system has been deliberated in another earlier paper presented at the ITS World Congress in Busan, Korea in 2010 [16]. Data from the WIM system has also been analyzed in a previous study on differential speed limit for heavy vehicles [18]. The WIM system was installed on a rural single carriageway two-lane road with straight and flat road geometry, named Federal Route 54, to capture all traffic data in the westward direction.…”

Section: Methodsmentioning

confidence: 99%

Effectiveness of vehicle weight enforcement in a developing country using weigh-in-motion sorting system considering vehicle by-pass and enforcement capability

et al. 2014

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Weight enforcement Pavement damage Vehicle overloading Road safety GHG emissionVehicle overloading has been identified as one of the major contributors to road pavement damage in Malaysia. In this study, the weigh-in-motion (WIM) system has been used to function as a vehicle weight sorting tool to complement the exsiting static weigh bridge enforcement station. Data collected from the developed system is used to explore the effectiveness of using WIM system in terms of generating more accurate data for enforcement purposes and at the same time improving safety and reducing the number of vehicle weight violations on the roads. This study specifically focus on the effect of vehicle by-pass and static weigh station enforcement capability on the overall effectiveness of vehicle weight enforcement system in a developing country. Results from this study suggest that the WIM system will significantly enhance the effectiveness and efficiency of the current vehicle weight enforcement, thus generating substantial revenue that would greatly off-set the current road maintenance budget that comes from tax payers money. If there is substantial reduction in overloaded vehicles, the public will still gain through reduction in road maintenance budget, less accident risks involving heavy trucks, and lesser greenhouse gases (GHGs) emissions.

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Empirical analysis of gross vehicle weight and free flow speed and consideration on its relation with differential speed limit

Cited by 37 publications

References 8 publications

Tailpipe emissions from passenger cars of different models: What are the main influencing factors?

Tailpipe emissions from passenger cars of different models: What are the main influencing factors?

Dynamic simulation of brake pedal force effect on heavy vehicle braking distance under wet road conditions

Effectiveness of vehicle weight enforcement in a developing country using weigh-in-motion sorting system considering vehicle by-pass and enforcement capability

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