Andreas Leich
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View article: Quantifying the upper levels of Hydén's traffic safety pyramid using global data
Quantifying the upper levels of Hydén's traffic safety pyramid using global data Open
Hydén's pyramid qualitatively displays the number of conflicts and road user crashes in different severities. Fatal crashes are on the top of the pyramid, undisturbed passages mark the base of it. To quantify the pyramid, open data from th…
View article: Reliability of C-ADAS and the importance of the acceleration function for cycling safety
Reliability of C-ADAS and the importance of the acceleration function for cycling safety Open
Driving characteristics of bicyclists and motorists differ significantly in critical, uncritical and unaffected situations in road traffic. When bicyclists cross the path of right-turning motorists, bicyclists seem to mitigate conflicts th…
View article: Physical models of traffic safety at crossing streams
Physical models of traffic safety at crossing streams Open
Traffic safety at intersecting streams is studied quantitatively using methods from Statistical Mechanics on the basis of simple microscopic traffic flow models. In order to determine a relationship between traffic flow and the number of c…
View article: Physical models of traffic safety at crossings
Physical models of traffic safety at crossings Open
Traffic safety at intersections is studied quantitatively using methods from Statistical Mechanics on the basis of simple microscopic traffic flow models. In order to determine a relationship between traffic flow and the number of crashes,…
View article: Traffic Safety at German Roundabouts—A Replication Study
Traffic Safety at German Roundabouts—A Replication Study Open
Roundabouts are well-known for their ability to improve upon traffic safety, especially for motorized traffic. An in-depth analysis on this topic is known from previous work. It was found that different types of roundabouts have different …
View article: Observations on the Relationship between Crash Frequency and Traffic Flow
Observations on the Relationship between Crash Frequency and Traffic Flow Open
This work analyzes the relationship between crash frequency N (crashes per hour) and exposure Q (cars per hour) on the macroscopic level of a whole city. As exposure, the traffic flow is used here. Therefore, it analyzes a large crash data…
View article: Visualizing crash data patterns
Visualizing crash data patterns Open
This paper demonstrates an approach that makes it easy to find patterns in traffic crash data-bases, and to specify their statistical significance. The detected patterns might help to prevent traffic crashes from happening, since they may …
View article: TransAID Deliverable 5.2: V2X-based cooperative sensing and driving in Transition Areas (second iteration)
TransAID Deliverable 5.2: V2X-based cooperative sensing and driving in Transition Areas (second iteration) Open
The objective of the TransAID (Transition Areas for Infrastructure-Assisted Driving) project is to deal with situations that cooperative and automated vehicles (CAV) might face when they are approaching to traffic conditions or zones that …
View article: MAVEN Deliverable 6.4: Integration Final Report
MAVEN Deliverable 6.4: Integration Final Report Open
This document presents the work that has been performed in WP6 after D6.3, and therefore focussing on the integration sprints 3-6. It describes which parts of the system are implemented and how they are put together. To do so, it builds up…
View article: MAVEN Deliverable 7.2: Impact Assessment - Technical Report
MAVEN Deliverable 7.2: Impact Assessment - Technical Report Open
This deliverable focuses on an important topic within the MAVEN project - evaluation of the project impact. This is an important step that will allow us to say what the results and impact of the different technologies, functionalities as w…
View article: EU_MAVEN D3.2: Cooperative environment perception algorithms
EU_MAVEN D3.2: Cooperative environment perception algorithms Open
This document describes the project achievements in cooperative perception algorithm
\ndevelopment and testing.
\nAn overview of the building blocks, vehicle setups and embeddings of the perception algorithms
\ninto the test vehicle archit…
View article: The Safety Impact of Additional Blue Lights of Rescue Vehicles
The Safety Impact of Additional Blue Lights of Rescue Vehicles Open
This work is a preliminary study on behalf of the Bavarian Red Cross (BRK). It examines if and to what effect an impact on traffic safety can be measured when BRK ambulance vehicles are equipped with additional blue lights on the front fen…
View article: MAVEN Deliverable 3.1: Detailed concepts for cooperative manoeuvre and trajectory planning and for in-vehicle cooperative environment perception
MAVEN Deliverable 3.1: Detailed concepts for cooperative manoeuvre and trajectory planning and for in-vehicle cooperative environment perception Open
This deliverable is the textual description of the cooperative manoeuvre and trajectory planning and in-vehicle cooperative environment perception concepts, which have been designed by DLR and HMETC for MAVEN. An overview of the vehicle au…
View article: Impact analysis of additional ambulance vehicle beacons
Impact analysis of additional ambulance vehicle beacons Open
This work is a preliminary study on behalf of the Bavarian Red Cross (BRK) and examines if and what effect on traffic safety can be measured when BRK ambulance vehicles are equipped with additional beacons on the front fender next to the f…
View article: Traffic state estimation with Bayesian Networks at extremely low V2X penetration rates
Traffic state estimation with Bayesian Networks at extremely low V2X penetration rates Open
In this paper the concept of Bayesian Networks (BN) is applied to the problem of traffic data acquisition by data fusion. Two wireless communication based sensors are used as data sources: IEEE 802.15.1 Bluetooth and IEEE 802.11p V2X (vehi…
View article: Wide-area based traffic situation detection at an ungated level crossing
Wide-area based traffic situation detection at an ungated level crossing Open
The automated detection of atypical and critical traffic situations is essentially important to help to understand driver behaviour, to find functional correlations between traffic conflicts and real accidents, and eventually, to prevent, …
View article: Road Traffic Safety Research at DLR
Road Traffic Safety Research at DLR Open
Der Konferenzbeitrag gibt einen Überblick über Projekte und Methodik der Forschung im Bereich der Sicherheit im Straßenverkehr am Institut für Verkehrssystemtechnik des DLR. Dabei wird insbesondere auf die Verkehrskonflikttechnik, funktion…
View article: SUMO 2016 – Traffic, Mobility, and Logistics
SUMO 2016 – Traffic, Mobility, and Logistics Open
Dear reader,
\nYou are holding in your hands a volume of the series „Reports of the DLR-Institute of Transportation
\nSystems“. We are publishing in this series fascinating, scientific topics from the Institute of Trans-
\nportation System…
View article: COLOMBO Deliverable 7.6: Project Final Report
COLOMBO Deliverable 7.6: Project Final Report Open
Traffic control systems should cope with the ever increasing demand by determining the situation on the road network and by controlling traffic flows. Emerging cooperative techniques like vehicle-to-infrastructure communication increase th…
View article: Calculation of Error Rates for Detection of Critical Situations in Road Traffic
Calculation of Error Rates for Detection of Critical Situations in Road Traffic Open
This article is a contribution to the development of methods for road safety analysis. A calculation scheme is derived for error rates of critical situations detected automatically using a road side stationary detector. A situation is clas…
View article: COLOMBO Deliverable 5.4: Performance of COLOMBO Solutions
COLOMBO Deliverable 5.4: Performance of COLOMBO Solutions Open
This document enables a concise overview on previously reported results of tests and evaluations from different WPs and respective deliverables. The evaluated traffic management subsystems are:
\n1 Traffic state estimation (TSE)
\n2 Automa…
View article: COLOMBO Deliverable 6.4: Educational Kit
COLOMBO Deliverable 6.4: Educational Kit Open
The aim of this document is to provide instruction to those interested in the publicly available software components of COLOMBO. The document is written in the first place for the academic community, basic knowledge of linux, windows and X…
View article: COLOMBO Deliverable 1.3: Decentralized Monitoring based on Low Penetration Traffic Information
COLOMBO Deliverable 1.3: Decentralized Monitoring based on Low Penetration Traffic Information Open
In Chapter 2, fusion-based decentralized low penetration traffic state estimation systems (DFCD) are described, ranging from Class B (WLAN) to Class B (BT) assisting low penetration Class C (V2X) vehicles. Afterwards, Chapter 3 introduces …
View article: COLOMBO Deliverable 6.3: Exploitation Plan
COLOMBO Deliverable 6.3: Exploitation Plan Open
The aim of this document is to indicate how the results of COLOMBO can be exploited. The document does not only focus on the duration of the project, but also assesses the possibilities beyond the end at 31st of October 2015. A good refere…
View article: Road user tracker based on robust regression with GNC and preconditioning
Road user tracker based on robust regression with GNC and preconditioning Open
In this paper an early vision tracking algorithm particularly adapted to the tracking of road users in video image sequences is presented. The algorithm is an enhanced version of the regression based motion estimator in Lucas-Kanade style.…