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Proactive assessment of road curve safety using floating car data: An exploratory study

Ambros Jiří, Altmann Jarosław, Jurewicz Chris, Chevalier Anna

Archives of Transport

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2019

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Vol. 50, iss. 2

7--15

EN

Driving speed is an important risk factor, especially when negotiating horizontal curves. Therefore it may be useful in extracting surrogate measures to proactively safety assessment, a practice consistent with a current shift towards a Safe System approach to addressing road trauma. Review of previous literature indicated two categories of studies: (1) studies focusing on a safe driving perspective, i.e. studies primarily interested in finding the cut-off point in FCD data characteristics between safe and unsafe driving; (2) studies focusing on relating meaningful risk rates (percentages of exceeding the risk thresholds) to specific locations, and thus identify safety critical sites. However, no study was found that specifically focused on the relationship between kinematic characteristics (other than just speed) and road curves. The presented study focused on exploring the relationship between acceleration and jerk thresholds and crashes occurring on road curves. The first objective was to determine meaningful acceleration and jerk thresholds to utilize in explaining safety performance when negotiating curves. For this purpose floating car data (FCD) from a fleet of company vehicles, driving in rural sections of national roads in the Czech Republic, was collected and used to derive and validate potential surrogate safety measures. FCD presents in-vehicle information with several benefits compared to traditional techniques, such as feasibility of data collection, relatively unlimited spatial coverage, and availability of historical data. In the analysis, lateral acceleration and longitudinal jerk were found to be the most influential measures of curve safety performance. To sum up, the exploratory study outlined a practical approach to proactive evaluation of road curve safety: FCD data can generate useful surrogate measures of curve safety (acceleration and jerks) associated with crash history. A larger study is required to strengthen robustness of the results and provide confidence necessary for practical application. Potential use cases may include conducting interim evaluations of curve road safety treatments, or in-vehicle monitoring devices for detection of potentially unsafe manoeuvers and providing real-time feedback to drivers based on a combination of identified safety thresholds.

2

Trip volume seasonal variations at regional level – case study of Małopolska GSM OD matrices

Kucharski R., Szarata A., Mielczarek J., Drabicki A.

Archives of Transport System Telematics

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2018

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Vol. 11, iss. 1

40--45

EN

In this paper we analyze the big-data set of GSM origin-destination matrices collected between 360 districts (Powiat) in Poland to indirectly observe the trip volume fluctuations: weekly and seasonal. We utilized the dataset obtained from BTS position for all clients registered to a single provider. The data was collected over several days, which allows for a valuable temporal analysis of trip volumes. We analyze internal and external (inbound and outbound) trips in Małopolska region, intra-zonal trips (within district), inter-zonal (between districts of Małopolska). We discuss the general variability of observed trip volumes. We present the weekly fluctuations (working day, Friday, Saturday, Sunday) and the seasonal ones (winter, holiday, etc.). We verify the results obtained from GSM data with the traffic counts and their seasonal variations provided by national road administration (GDDKiA). Main contribution of the paper is presenting the observed fluctuations from the GSM data and comparing them with the classically collected data, as we demonstrate the results are comparable.

3

Zastosowanie danych z sondowania pojazdów do wykrywania lokalnych ograniczeń przepustowości

Dybicz T.

Transport Miejski i Regionalny

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2015

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nr 5

9--14

PL

W artykule przedstawiono jeden z przykładów możliwości wykorzystania danych z sondowania pojazdów w KBR (do wprowadzania LOP do modeli ruchu). Na bazie rzeczywistych wyników udostępnionych przez firmę CE-Traffic zademonstrowano sposób, w jaki można wykorzystać dane z sondowania pojazdów do wykrywania LOP. Przedstawiono również sposób, w jaki można wykrywać występowanie fali opóźniającej i rozprowadzającej oraz skali oddziaływania LOP. Zademonstrowany przykład świadczy o dużym potencjale korzyści, jakie mogą wiązać się z wykorzystywaniem tych danych w KBR przy wykonywaniu oceny jakości funkcjonowania systemu drogowego oraz modelowaniu i prognozowaniu ruchu.

EN

The paper presents an example of the possibilities of using floating car data FCD in complex traffic survey . On the basis of the real FCD data delivered by the CE-Traffic a demonstration of how FCD can be used for active bottleneck detection has been presented. It also provides description of how detections of shock waves with application of FCD data can be obtained. Presented example demonstrates significant potential benefits that may be gained through use of FCD in complex traffic survey and in traffic modeling and forecasting.

4

Dokładność lokalizacji pojazdów metodą Cell-ID – rezultaty pomiarów testowych

Sabak G.

Logistyka

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2010

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nr 4

CD-CD

PL

Monitorowanie lokalizacji pojazdów poprzez lokalizację zainstalowanych w nich urządzeń do komunikacji w sieciach telefonii komórkowej jest jedną z opcji uzyskiwania danych o strumieniu pojazdów. W artykule przedstawione zostały wyniki analizy dokładności lokalizacji pojazdów w sieci GSM za pomocą metody opartej o identyfikator komórki obsługującej komunikację z urządzeniem (stacją mobilną). Analiza uwzględnia podział dróg i obszarów na typy takie jak: autostrady, drogi krajowe i ekspresowe, drogi wojewódzkie, obszary dużych miast i miast powiatowych. Dane do analizy zostały zebrane podczas przejazdów testowych z wykorzystaniem stacji mobilnych działających w sieci jednego z wiodących operatorów sieci komórkowej w Polsce.

EN

Monitoring of vehicle position and movement via positioning of communication devices inside those vehicles is one of many options to obtain data on stream of vehicles. This paper presents the results of accuracy analysis for the vehicle positioning within GSM network, via method based on cell identifier (Cell-Id location). The analysis takes different types of roads, such as: highways, motorways, trunk roads, voivodeship roads, large urban areas and smaller towns, into consideration. Data for the analysis has been collected during test drives. Cellular network of one of the leading mobile network operators in Poland has been used.