Speed Estimation using Smartphone Accelerometer Data

Ustun, Ilyas; Cetin, Mecit

doi:10.1177/0361198119836977

Cited by 7 publications

(3 citation statements)

References 19 publications

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“…A considerable step in achieving this goal would be to identify a way to utilise GPS probes from personal mobile devices, such as smartphones, which are far more readily available. However, the difficulties associated with this -such as accuracy and multiple recordings from a single vehicle -have been noted (Bessler & Paulin, 2013;Ustun & Cetin, 2019). Future research should extend upon the current study by recalculating relative risk functions, utilising more representative data to calculate speeding prevalence and expand the scope of the research to look at other vehicle types, including heavy vehicles and motorcycles.…”

Section: Discussionmentioning

confidence: 94%

Using GPS Probe Speed Data to Estimate the Attribution of Speeding on Casualty Crashes: A Case Study in Queensland

Soole

O’Hern

Cameron

et al. 2023

JRS

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While the relationship between vehicle speed and crash risk and severity are well understood, precise quantifications of the attribution of speeding to casualty crashes remains more elusive, due in part to the lack of reliable network-wide speed survey data. A relatively new source of network-wide speed data is Global Positioning System (GPS) probe data. This paper explores the feasibility of using this data, along with existing crash risk estimates, to determine the proportion of casualty crashes attributable to travelling at various speeds above the posted limit on Queensland roads. Findings were generally consistent with other data sources, highlighting the danger associated with high-level speeding (more than 20 km/h over the speed limit), estimating that up to 32.5% of all casualty crashes were attributable to this behaviour. Analyses also showed the risks associated with low-level speeding (1-10km/h over the limit), with up to 19.2% of all casualty crashes estimated to be attributable to such behaviour. The implications of these findings on road safety are discussed. Notwithstanding the limitations of GPS speed probe data, the findings suggest that it represents a promising source of network-wide speed data for estimating the attribution of speeding in casualty crashes. Efforts should be made to improve the reliability of this data by increasing the representativeness of vehicles contributing to the data.

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Section: Discussionmentioning

confidence: 94%

Using GPS Probe Speed Data to Estimate the Attribution of Speeding on Casualty Crashes: A Case Study in Queensland

Soole

O’Hern

Cameron

et al. 2023

JRS

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“…Supervise eco-driving [32], using metrics such as vehicle use or driver behavior (including harshness of acceleration and cornering, with demonstrated performance achieving more than 70% accurate prediction [68]) to guide more-conservative behavior. Related to this, vehicle speed can be monitored with smartphone accelerometers alone, with an accuracy within 10MPH of the ground truth [69].…”

Section: Occupant Behaviors and Telemetrymentioning

confidence: 99%

Surveying Off-Board and Extravehicular Monitoring and Progress Towards Pervasive Diagnostics

Siegel¹,

Coda²,

Terwilliger³

2021

SAE Intl. J CAV

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We survey the state-of-the-art in offboard diagnostics for vehicles, their occupants, and environments, with particular focus on vibroacoustic approaches. We identify promising application areas including data-driven management for shared mobility and automated fleets, usage-based insurance, and vehicle, occupant, and environmental state and condition monitoring. We close by exploring the particular application of vibroacoustic monitoring to vehicle diagnostics and prognostics and propose the introduction of automated vehicle-and context-specific model selection as a means of improving algorithm performance, e.g. to enable smartphone-resident diagnostics. The described approach may serve as the first step in developing "universal diagnostics," with applicability extending beyond the automotive domain. Motivating the Need for Vehicle DiagnosticsThe automotive world is changing, and there is increasing concern about vehicles' environmental impact, particularly those with internal combustion engines. As a result, there is a growing prevalence of efficiency-improving systems within vehicles. One of the biggest contributors to lifetime efficiency is the availability of in-vehicle diagnostic systems, as these may report faults early and precisely to motivate owners and operators to seek out preventative or restorative maintenance, enhancing safety and reducing operating costs.At the same time, mobility culture is evolving, transitioning from the need to own a car towards the concept of mobilityas-a-service. Today, vehicle sales are slowing despite continued high mobility demand: The average vehicle age and lifetime miles travelled are increasing, particularly in developing countries [1,2], and shared mobility services, car rentals, and "robotaxis" are emerging. Increased utilization and novel use cases require enhanced fleet data generation and management capabilities. Key to enhanced fleet management is the concept of automotive diagnostics, i.e. the inference of a vehicle's condition based on observed symptoms indicating a technical state [3]. Diagnostics are important for monitoring vehicle, environment, and occupant status (e.g. component wear, road conditions, or driver alertness).Historically, these diagnostics draw upon in-situ sensors and computation to develop "On Board Diagnostics." On-Board Diagnostics (OBD)On-Board Diagnostic (OBD-II) systems present on vehicles sold since 1996 [4] are an automated control system utilizing distributed sensing across a vehicle's embedded systems as a technical solution for measuring vehicle operational parameters and detecting, reporting, and responding to faults.

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“…For example, algorithm to estimate vehicle speed from accelerometer data generated by an onboard smart-phone [16] has been proposed in various literatures. However, according to authors in [16], speed estimation by the integration of the mobilephone accelerometer data will not yield accurate results, since the accelerometer data in the direction of motion is not pure acceleration, but involves white noise, phone sensor bias, vibration, gravity component, and other effects. Similarly, the use of GPS to measure vehicle speed, on the other hand, depends on the number of visible GPS satellites at the recording time.…”

Section: Driving Profile Measurementsmentioning

confidence: 99%

Vehicles Power Consumption: Case Study of Dar Rapid Transit Agency (DART) in Tanzania

Greyson¹

2021

Internal Combustion Engine Technology and Applications of Biodiesel Fuel

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Energy consumption and its environmental impact are now among the most challenging problems in most developing cities. The common sources of energy used as the fuel in transportation sector include gasoline, diesel, natural gas, propane, biofuels, electricity, coal, and hydrogen. However, in Tanzania, diesel and gasoline are still the dominant source of energy used by public and private vehicles. We have experienced significant efforts of converting conventional vehicles (gasoline engines) to operate on Compressed Natural Gas (CNG) or on hybrid system (gasoline and natural gas) as an alternative source of energy in Tanzania. The CNG is considered as cleaner combustion energy used as a vehicular fuel alternative to gasoline or diesel. In this chapter, the amount of energy consumption from the fuel combustion, the impact of environmental health (toxicity gas emission), the cost of fuel used by the transit buses in terms of fuel energy consumption, and driving profile are discussed. The scope of this work is based on the total energy contained in the fuel only. The ability of the engine to transform the available energy from the fuel into useful work power (efficiency) is left to the designers and manufacturers.

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Speed Estimation using Smartphone Accelerometer Data

Cited by 7 publications

References 19 publications

Using GPS Probe Speed Data to Estimate the Attribution of Speeding on Casualty Crashes: A Case Study in Queensland

Using GPS Probe Speed Data to Estimate the Attribution of Speeding on Casualty Crashes: A Case Study in Queensland

Surveying Off-Board and Extravehicular Monitoring and Progress Towards Pervasive Diagnostics

Vehicles Power Consumption: Case Study of Dar Rapid Transit Agency (DART) in Tanzania

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