inproceedings by Raphael Frank
Adaptive Activity and Context Recognition using Multimodal Sensors in Smart Devices
Papers by Raphael Frank
A Car Hacking Experiment: When Connectivity Meets Vulnerability
2015 IEEE Globecom Workshops (GC Wkshps), 2015
An Event-Driven Inter-Vehicle Communication Protocol to Attenuate Vehicular Shock Waves
Validation study of risky event classification using driving pattern factors
2015 IEEE Symposium on Communications and Vehicular Technology in the Benelux (SCVT), 2015
Traffic Routing in Urban Environments: the Impact of Partial Information
ABSTRACT There are many studies concerning the problem of traffic congestion in cities. One of th... more ABSTRACT There are many studies concerning the problem of traffic congestion in cities. One of the best accepted solutions to relieving congestion involves optimization of resources already available, by means of balancing traffic flows to minimize travel delays. To achieve this optimization, it is necessary to collect and process Floating Car Data (FCD) from vehicles. In this paper we evaluate the repercussions of partial information on the overall traffic view, and consequently on the outcome of the optimization. Our study focuses on the role of the user participation rate and the availability of Road Side Units to collect the FCD. By means of simulation we quantify the impact of partially-available information on the computation of route optimization, and how it impedes traffic flows. Our results show that even minor uncertainties can significantly impact routing strategies and lead to deterioration in the overall traffic situation.
In recent years, traffic density in the European Union has continuously increased. In the same pe... more In recent years, traffic density in the European Union has continuously increased. In the same period, the road network could not be extended to meet the growing traffic demand. A consequence is a lot of congestion on European roads, causing huge economical as well as ecological damage. These circumstances make it absolutely necessary to bring an improvement to this situation. A first step towards a much more efficient usage of the existing road network is to collect floating car data to describe the actual traffic situation in realtime. Today more and more smartphones are equipped with with all the necessary sensors (e.g. GPS, Accelerometer, Gyroscope). Such devices can be used to collect and distribute relevant traffic metrics that are crucial for applications such as smart vehicle guidance. This work describes how sensor data from Microelectromechanical Systems (MEMS) can be retrieved, corrected and fused to get an accurate picture of real world traffic phenomena.
An event-driven inter-vehicle communication protocol to attenuate vehicular shock waves
2014 International Conference on Connected Vehicles and Expo (ICCVE), 2014
The analysis of Call Detail Records has captured the attention of traffic and transportation rese... more The analysis of Call Detail Records has captured the attention of traffic and transportation researchers to optimize people's mobility. In our work, we analyze Call Detail Records in order to extract realistic human mobility models adapted to the Senegal use case. In this paper, we describe our analysis of the available D4D datasets. The first contribution is the modeling of the daily traffic demand profile of each antenna, by considering voice and messaging activities. The evaluation of mobility models will help to better design and develop future infrastructures in order to better support the actual demand. A classification has been performed into urban, suburban and rural modes. An algorithm has been developed to detect traffic anomalies in 2013, based on the daily profiles. The second contribution corresponds to the generation of inter-antenna and inter-district mobility graphs for each month of 2013. The rest of this paper is organized as follows. In Section I, we present t...
Various vehicular communities ranging from telecommunication to infrastructure are working on pro... more Various vehicular communities ranging from telecommunication to infrastructure are working on problems related to traffic congestion, intelligent transportation systems, and mobility patterns using information collected from a variety of sensors. In order to test the solutions, the first step is to use a vehicular traffic simulator and an appropriate scenario. Many mobility simulators are available, but a common problem is finding a realistic traffic scenario. The aim of this work is to provide a scenario able to meet all the common requirements in terms of size, realism and duration, in order to have a common basis for the evaluations. In the interest of building a realistic scenario, we decided to start from a real city with a standard topology common in mid-size European cities, and real information concerning traffic demands and mobility patterns. In this paper we show the process used to build the Luxembourg SUMO Traffic (LuST) Scenario, and present a summary of its characteris...
A Recommendation Based Driver Assistance System to Mitigate Vehicular Traffic Shock Waves (Demo)
Bluetooth Low Energy Performance and Robustness Analysis for Inter-Vehicular Communications
Ad Hoc Networks, 2015
A Cooperative Advanced Driver Assistance System to mitigate vehicular traffic shock waves
IEEE INFOCOM 2014 - IEEE Conference on Computer Communications, 2014
ABSTRACT We address the problem of shock wave formation in uncoordinated highway traffic. First, ... more ABSTRACT We address the problem of shock wave formation in uncoordinated highway traffic. First, we identify the combination of heavy traffic and small traffic perturbations or unexpected driver actions as the main causes of highway traffic jams. Then we introduce a novel distributed communication protocol that enables us to eliminate upstream shock wave formation even with low system penetration rates. Based on traffic information ahead, we propose a Cooperative Advanced Driver Assistance System (CADAS) that recommends non-intuitive velocity reductions in order to redistribute traffic more uniformly thereby eliminating traffic peaks. Simulation results show that CADAS significantly increases the average velocity and therewith reduces the overall travel time and avoids unnecessary slowdowns.
Improving highway traffic through partial velocity synchronization
2012 IEEE Global Communications Conference (GLOBECOM), 2012
ABSTRACT In this paper we address the problem of uncoordinated highway traffic. We first identify... more ABSTRACT In this paper we address the problem of uncoordinated highway traffic. We first identify the main causes of the capacity drop, namely high traffic demand and inadequate driver reaction. In the past, traffic and user behavior have been accurately described by cellular automata (CA) models. In this paper we extend the CA model to deal with highway traffic fluctuations and jams. Specifically, the model incorporates the communication layer between vehicles. The model thus enables us to study the impact of inter-vehicular communications and in particular the delivery of critical and timely upstream traffic information on driver reaction. Based on the newly-available traffic metrics, we propose an Advanced Driver Assistance System (ADAS) that suggests non-intuitive speed reduction in order to avoid the formation of so-called phantom jams. The results show that using such a system considerably increases the overall traffic flow, reduces travel time and avoids unnecessary slow-downs.
Demo: A recommendation based driver assistance system to mitigate vehicular traffic shock waves
2014 IEEE Vehicular Networking Conference (VNC), 2014
Collaborative traffic sensing: a case study of a mobile phone based traffic management system
2014 IEEE 11th Consumer Communications and Networking Conference (CCNC), 2014
Enabling vehicular mobility in city-wide IEEE 802.11 networks through predictive handovers
Vehicular Communications, 2015
ABSTRACT The increasing number of IEEE 802.11 networks deployed worldwide gives mobile users the ... more ABSTRACT The increasing number of IEEE 802.11 networks deployed worldwide gives mobile users the possibility of experiencing high-speed wireless access on the move. Moreover, the high density of these deployments in urban areas make IEEE 802.11 a suitable access technology for moving vehicles. However, in order to provide a seamless access to vehicles, the transition between Access Points (APs) must be quick and reliable. The main bottleneck of existing handover mechanisms is the long AP scanning process, which only provides a snapshot of the available networks at a given location, impacting the handover decision on moving vehicles. To overcome this limitation, we propose COPER, a context-based predictive handover mechanism that considers vehicle's trajectory, road topology, and network deployment information to decide the best handover location and candidate access points. We validate with real experiments in a city-wide 802.11 network and show that COPER can provide better average signal strength, data rate, and connected time than other existing handover approaches.
Driver behavior profiling using smartphones
16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013), 2013
An evaluation study of driver profiling fuzzy algorithms using smartphones
2013 21st IEEE International Conference on Network Protocols (ICNP), 2013
ABSTRACT Profiling driving behavior has become a relevant aspect in fleet management, automotive ... more ABSTRACT Profiling driving behavior has become a relevant aspect in fleet management, automotive insurance and eco-driving. Detecting inefficient or aggressive drivers can help reducing fleet degradation, insurance policy cost and fuel consumption. In this paper, we present a Fuzzy-Logic based driver scoring mechanism that uses smartphone sensing data, including accelerometers and GPS. In order to evaluate the proposed mechanism, we have collected traces from a testbed consisting in 20 vehicles equipped with an Android sensing application we have developed to this end. The results show that the proposed sensing variables using smartphones can be merged to provide each driver with a single score.
SenseFleet: A smartphone-based driver profiling platform
2014 Eleventh Annual IEEE International Conference on Sensing, Communication, and Networking (SECON), 2014
LuxTraffic: A collaborative traffic sensing system
2013 19th IEEE Workshop on Local & Metropolitan Area Networks (LANMAN), 2013
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inproceedings by Raphael Frank
Papers by Raphael Frank