Data Collection & Quality (1)
Tuesday 23 October 2012
14:00 - 15:30
Schubert 6
Type: Technical/scientific session (TS012)
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Papers
| Paper | Title | Summary | Author |
|---|---|---|---|
| AP-00063 | Utilization of probe data collected by ITS Spot for road management | The Ministry of Land, Infrastructure, Transport and Tourism of Japan developed a system to collect probe data (vehicle position (latitude and longitude), time, and acceleration) from ITS Spot-compatible car navigation system (ITS Spot OBU) through roadside units (RSU). Collecting probe data has started since April 2011. In this paper, we report the results of a study on an application that uses the probe data to perform data aggregation assuming various road management usage scenarios, such as information sharing during disasters and business analytics. | Mr Yasuyuki Sawada |
| EU-00203 | Open traffic data collection methods for transport strategic planning and travel information in large metropolitan cities; The case of Athens | Metropolitan areas face ever increasing demands on their transportation systems. The VIAJEO project, co-funded by the EC DG Research, addresses traffic planning and operation challenges in those areas by designing, implementing and demonstrating an open platform to process and share data from different sources. The project aims to demonstrate the results in four cities: Athens, Sao Paulo, Beijing and Shanghai. The demonstration in Athens integrates floating vehicle data with traffic data collected from a variety of sources. The expected results are to deliver a complete and operational platform capable of supporting mobility services, new data collection and processing tools for transport planners. The Athens site entail three main services: a) Taxi fleet management and traffic information, b) End-user multi modal trip planning and traffic information and c) Observatory for Public Authorities and Traffic Planners. The aim of this paper is to briefly present the services that are implemented and the benefits which are obtained by using VIAJEO innovative platform. A thorough discussion will follow about the use of the services by their target groups and their contribution to the Directive 2010/40/EU and the efficiency of overall mobility in metropolitan areas. | Mr George Sarros |
| EU-00564 | Accuracy of Travel Time Estimation using Bluetooth Technology: Case Study Limfjord Tunnel Aalborg | Short-term travel time information plays a critical role in Advanced Traffic Information Systems (ATIS) and Advanced Traffic Management Systems (ATMS). In this context, the need for accurate and reliable travel time information sources is becoming increasingly important. Bluetooth Technology (BT) has been used as a relatively new cost-effective source of travel time estimation. However, due to low sampling rate of BT compared to other sensor technologies, existence of outliers may significantly affect the accuracy and reliability of the travel time estimates obtained using BT. In this study, the concept of outliers and corresponding impacts on travel time accuracy are discussed. Four different estimators named Min-BT, Max-BT, Med-BT and Avg-BT with different outlier detection logic are presented in this paper. These methods are used to estimate travel times using a BT derived dataset. In order to quantify the accuracy and robustness of these estimators against outliers, a comparative study between BT and Floating Car Data (FCD) is conducted. Results show that the Min-BT and Med-BT are more robust concerning the existence of outliers in the dataset and can provide more accurate travel time estimates compare to Max-BT and Avg-BT. | Mrs Bahar Namaki Araghi |
| AM-00059 | New York City Use of Non-Intrusive Vehicle Detectors to Estimate Vehicle Average Speeds in Lower Manhattan | A beta test was performed to validate that non-intrusive detector processed data could be used to populate a flow map with average vehicle speeds in an urban city environment. The test was performed in lower Manhattan in NYC. The data from the detectors was validated with floating car runs and video of the traffic. Once validated the detector data was processed with a quantitative and a qualitative algorithms to estimate average travel times in lower Manhattan. The results showed that midblock microwave and stop bar video image detection system (VIDS) detectors could be successfully used to estimate valid average vehicle speeds. The success of the beta test made possible the design for 30 VIDS and 125 VIDS detectors in Lower Manhattan to populate a real-time average vehicle speed flow map. The map is used to manage traffic in the re-construction of the World Trade Center and other construction projects in Lower Manhattan of NYC. | Mr. Raymundo Martinez |
| EU-00589 | Automating Bus Stop Dwell Times Measurements using London’s iBus: Exploiting the Data from Vehicle Location Systems | Automatic Vehicle Location (AVL) systems for buses have been deployed successfully in many cities to improve service operations and provide real-time passenger information. Increasingly these systems are being used to develop further applications, and this paper provides one example using London’s iBus, where events captured historically by vehicles operating on-street in real-time are used to derive automated bus stop dwell time measurements, which are comparable to the observations made on-board vehicles, and the values obtained previously through manual surveys. The method involves running complex algorithms to process large volumes of events log records taken from the small on-board computers of iBus-enabled vehicles, and using these to calculate the Speed Zero durations or stationary times of buses within the stop zone. This method may have similar application in other cities, and has the potential to replace relatively expensive manually surveys, and provide improved dwell time measurements for use in bus priority, for service scheduling, journey time planning and in public transport modelling. | Mr Alan Wong |
| EU-00524 | A methodology for traffic state estimation and signal control utilizing high wireless device penetration | NOTE: This paper is submitted assuming use of reviewer letter agreed between Ian Snell and Valérie Mindlin. This paper presents a methodology for fusing data from multiple sensors, including wireless devices, to make an estimation of the state of an urban traffic network. An extended Kalman filter is employed along with a state evolution model to make estimates of the state in a discretized network. Results are presented from simulation tests of signal controllers on a network with three signalized junctions. Two signal control methods are tested: SCOOT and a machine learning junction control algorithm that employs the discretized state structure described in this paper. These tests represent lower and upper performance benchmarks and present a significant difference. The tests also demonstrate a framework for the future evaluation of the proposed methodology. | Dr Simon Box |
| EU-00731 | Quality of Real-Time Traffic Information of the Austrian Motorway and Expressway Network | ASFINAG is operating a motor- and expressway network of about 2.175 km in Austria. Most of the motorways are equipped with a traffic data collection system. As a result of a cooperation between ASFINAG and ORF (the Austrian public broadcaster) high quality traffic information content for the entire motorway network is available. The content of the TMCplus service is generated by the traffic editorial office of ORF based on notices from the police and rescue services, from more than 26.000 registered drivers, from the traffic data collection and from the motorway maintenance teams of ASFINAG. In order to provide optimized information quality to the TMCplus customers, ASFINAG has installed a system for systematic evaluation of these traffic messages. The objective is to continuously monitor and analyze the TMCplus traffic message quality of the entire Austrian motorway network. The fully automated system reconstructs the real traffic situation (based on cross section data from detectors and/or travel time data from the LARIS system (1), which is based on drive- through transactions from the tolling system) and analyzes the broadcasted messages for the entire motorway network on a daily basis. Besides the daily evaluation also a monthly management report is established. Within the reporting system the so called “QKZ-method” was applied. Two indices QKZ1 (spatial-temporal false alarm rate) and QKZ2 (spatial-temporal detection rate) are defined to describe quality. This process, which is derived from the area of signal detection theory, offers the possibility of continuously measuring the quality with which traffic information is reported and comparing traffic information services objectively. The daily values for all roads, every direction are calculated and compared. Also the monthly trends and a performance ranking are determined. | Dr. Martin Rose |