Acceleration Characteristics of Starting Vehicles

Long, Gary L.

doi:10.3141/1737-08

Cited by 91 publications

(74 citation statements)

References 2 publications

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“…In this way, the speed transitions can represent acceleration, deceleration or a constant speed stage. The acceleration and deceleration curves of the vehicles can be defined in different ways [44,45]. For simplicity, constant acceleration, depending on the gear engaged, is considered for speed transitions of the vehicle, according to [39].…”

Section: Optimization Data Setmentioning

confidence: 99%

System for Road Vehicle Energy Optimization Using Real Time Road and Traffic Information

Jiménez

Cabrera-Montiel

2014

Energies

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Nowadays, reducing the energy and fuel consumption of road vehicles is a key issue. Different strategies have been proposed. One of them is to promote Eco-driving behaviour among drivers. Most Eco-driving tips take into account only the road stretch where the vehicle is located. However, larger improvements could be achieved if information from subsequent stretches is used. The main objective of this work is to develop a system to warn the driver in real time of the optimal speed that should be maintained on every road segment in order to optimize the energy used and the fuel consumed while observing a time schedule. The system takes into account the road vertical profile, the fixed and variable speed limits and the traffic information retrieved using V2V and V2I communications. The system has been tested on real road sections with satisfactory results in fuel savings.

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Section: Optimization Data Setmentioning

confidence: 99%

System for Road Vehicle Energy Optimization Using Real Time Road and Traffic Information

Jiménez

Cabrera-Montiel

2014

Energies

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“…On our own data, obtained using a family sedan and a van, we observed maximum deceleration to be under 1.5m/s 2 . The maximum rate of acceleration of a normal road vehicle is significantly lower than the maximum rate of deceleration [30]; therefore, we will assume acceleration in normal circumstances to be under 1.5 m/s 2 as well.…”

Section: Feature Matchingmentioning

confidence: 99%

Robust monocular visual odometry for road vehicles using uncertain perspective projection

Hamme

Goeman²,

Veelaert

et al. 2015

J Image Video Proc.

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Many emerging applications in the field of assisted and autonomous driving rely on accurate position information. Satellite-based positioning is not always sufficiently reliable and accurate for these tasks. Visual odometry can provide a solution to some of these shortcomings. Current systems mainly focus on the use of stereo cameras, which are impractical for large-scale application in consumer vehicles due to their reliance on accurate calibration. Existing monocular solutions on the other hand have significantly lower accuracy. In this paper, we present a novel monocular visual odometry method based on the robust tracking of features in the ground plane. The key concepts behind the method are the modeling of the uncertainty associated with the inverse perspective projection of image features and a parameter space voting scheme to find a consensus on the vehicle state among tracked features. Our approach differs from traditional visual odometry methods by applying 2D scene and motion constraints at the lowest level instead of solving for the 3D pose change. Evaluation both on the public KITTI benchmark and our own dataset show that this is a viable approach for visual odometry which outperforms basic 3D pose estimation due to the exploitation of the largely planar structure of road environments.

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“…On the other hand, Wang et al (2004) have assumed that drivers normally accelerate with a polynomial decreasing relationship with speed. Long (2000) has concluded that linearly decreasing acceleration rates better represent both maximum vehicle acceleration capabilities and actual motorist behaviour.…”

Section: Signalised Traffic Flow At Intersectionmentioning

confidence: 99%

“…Currently, constant acceleration is assumed by most simulation packages. However, Long (2000) has shown that linearly decreasing acceleration rates better represent both maximum vehicle acceleration capabilities and actual motorist behaviour. For the headway problem, Jin et al (2009) have found that the distributions of the departure headways at each position in a queue are shown to approximately follow a log-normal distribution and the corresponding mean values level out gradually.…”

Section: Case-studiesmentioning

confidence: 99%

“…However, Wang et al (2004) have assumed that drivers normally accelerate with a polynomial decreasing relationship with speed. Long (2000) has concluded that linearly decreasing acceleration rates better represent both maximum vehicle acceleration capabilities and actual motorist behaviour. The initial and primary challenge is data collection: high-resolution and accurately-positioned vehicle trajectory datasets are difficult to obtain in practice.…”

Section: A6mentioning

confidence: 99%

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Development of vehicle emissions models for Australian conditions

Zhu¹

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Microscopic simulation models such as AIMSUN, VISSIM and/or PARAMICS have the ability to output emissions based on default values for emission factors derived mainly from European test data. Emission algorithms in those models are based on overseas vehicle emissions datasets, which do not reflect the different Australian vehicles, fuels, climate and fleet composition. The proposed research provides a set of emission algorithms to be used in conjunction with traffic simulation modelling, to better represent local conditions. Macro level models based on average vehicle speeds may not be appropriate for use at a more localized and detailed level when vehicle speed profiles may change significantly. Emission rates for a number of vehicles were compared using Australian data based on dynamometer The thesis discusses the limitations of existing emissions estimation approaches at the micro level. A methodology to establish emission models for predicting emission pollutants other than CO 2 is proposed. The models adopt a genetic algorithm approach to select the predicting variables. The approach is capable of solving combinatorial optimisation problems. Overall, iii the emission prediction results reveal that the proposed new models outperform conventional equations.There is a need to match emission modelling estimation to the accuracy levels of confidence in the outputs of transport models. In order to quantify the likely level of uncertainty attached to forecasts of emissions, an analysis of errors needs to be undertaken. The two major sources of error are the deficiency inherent in the model structure itself and the uncertainty in the input data used. This thesis deals with both of these error types in relation to CO 2 emissions modelling using a case-study from Brisbane, Australia. To estimate input data uncertainty, an analysis of different traffic conditions using Monte Carlo simulation is shown here. Model structure induced uncertainties are also quantified by statistical analysis for a number of traffic scenarios. To arrive at an optimal overall CO 2 prediction, the interaction between the two components was taken into account. Since a more complex model does not necessarily yield higher overall accuracy, a balanced solution needs to be found. The results obtained suggest that the CO 2 model used in the analysis produces low overall uncertainty under free flow traffic conditions. However, when average traffic speeds approach congested conditions, there are significant errors associated with emissions estimates.Using different scenarios for different road configurations and traffic conditions, the results of applying the new approach are compared with those obtained by using default emissions parameters commonly found in a simulation package.The enhancement of emission predictions rests to a large extent on the further improvements to traffic micro-simulation models. The results obtained suggest that the new approach produces low overall errors under several traffic conditions. The accuracy of emissions p...

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Acceleration Characteristics of Starting Vehicles

Cited by 91 publications

References 2 publications

System for Road Vehicle Energy Optimization Using Real Time Road and Traffic Information

System for Road Vehicle Energy Optimization Using Real Time Road and Traffic Information

Robust monocular visual odometry for road vehicles using uncertain perspective projection

Development of vehicle emissions models for Australian conditions

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