{"title":"GBUS - Route GeoTracer","authors":"M. Santos, R. Pereira, A. Leal","doi":"10.1109/VTM.2012.6398697","DOIUrl":"https://doi.org/10.1109/VTM.2012.6398697","url":null,"abstract":"Intelligent Transportation Systems (ITS) are very common nowadays and are adopted by almost every public or private transportation company. To adopt an intelligent transportation system, a company must have a database with all paths travelled by the vehicles and the bus stops' locations of each path. Currently, there is not an automatic solution that allows the user to collect the location of bus stops and its attributes, as well as the bus routes. The system developed, GBUS - Route GeoTracer, enables a single person, equipped with a tablet (or a smartphone) to gather bus routes or variations of existing routes, including bus stop locations, photos and attributes. GBUS consists of a client module and a server side. The client module is a mobile client application, GBUS Mobile Application, which allows the user to collect bus stops and routes from a running vehicle. The server side consists in a server, Route Builder, that receives the information collected and applies a map-matching algorithm to map the collected GPS traces to a digital road map; and a Back-Office Monitoring Application to visualize and edit the information collected. The collected data can then be used to populate a public transportation ITS system, thus reducing the implementation time and cost. GBUS was designed taking into consideration the requirements of Tecmic's XtraN Passenger ITS.","PeriodicalId":200139,"journal":{"name":"2012 First International Workshop on Vehicular Traffic Management for Smart Cities (VTM)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128153759","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
C. Campolo, A. Iera, A. Molinaro, S. Y. Paratore, G. Ruggeri
{"title":"SMaRTCaR: An integrated smartphone-based platform to support traffic management applications","authors":"C. Campolo, A. Iera, A. Molinaro, S. Y. Paratore, G. Ruggeri","doi":"10.1109/VTM.2012.6398700","DOIUrl":"https://doi.org/10.1109/VTM.2012.6398700","url":null,"abstract":"A massive research effort is recently going in the direction of interfacing cars with smartphones to offer value-added services to driver and passengers. Such an interest is motivated by the large popularity of smartphones and by the observation that vehicles can act as effective collectors of information from the surrounding environment. Indeed, modern cars are endowed with several sensors forming an in-vehicle network, which provides kinematics information, automotive diagnostic services, etc. Cars can be further equipped with external sensing devices to monitor specific physical parameters, such as pollution, humidity, temperature, etc. If properly collected and delivered, such data can contribute to make the road transport greener, smarter, and safer. With the purpose of supporting and improving data collection and distribution, in this paper a smartphone-based platform is designed that exploits low-cost dedicated hardware to interact with sensors on board and in the vehicle surroundings. Retrieved data are classified and then opportunistically transmitted via the most convenient wireless interface to the specific remote control and monitoring center. A prototype is also developed to assess the technological feasibility of our conceived platform.","PeriodicalId":200139,"journal":{"name":"2012 First International Workshop on Vehicular Traffic Management for Smart Cities (VTM)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132201473","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"V-Radar: A vehicular traffic query protocol for urban environments","authors":"N. Loulloudes, G. Pallis, M. Dikaiakos","doi":"10.1109/VTM.2012.6398698","DOIUrl":"https://doi.org/10.1109/VTM.2012.6398698","url":null,"abstract":"Automobile congestions have an adverse effect in modern societies, causing the loss of billions of dollars and manhours every year throughout the world. In this era of global economic recession, drivers will require the necessary solutions and driving aids that facilitate the improvement of daily road transport and minimize unnecessary expenditure. In this work, we lay the groundwork for V-Radar, a query protocol for retrieving vehicular traffic information using V2V communications. The advantage of V-Radar over related works is its ability to monitor using location-dependent queries the prevailing traffic conditions in a number of road-paths from a vehicle's current location towards its final destination. We introduce its modular architecture and provide preliminary evaluation results showing significant improvements over a similar scheme.","PeriodicalId":200139,"journal":{"name":"2012 First International Workshop on Vehicular Traffic Management for Smart Cities (VTM)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129891158","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A comparative study of vehicles' routing algorithms for route planning in smart cities","authors":"Vi Tran Ngoc Nha, S. Djahel, J. Murphy","doi":"10.1109/VTM.2012.6398701","DOIUrl":"https://doi.org/10.1109/VTM.2012.6398701","url":null,"abstract":"Vehicle routing problem (VRP) is a generic name referring to optimization problems in transportation, distribution and logistics industry. They mainly focus on serving a number of customers by a number of vehicles. Route planning techniques is one of the main tasks of VRP which aims to find an optimal route from a starting point to a destination on a road map. As road traffic conditions may change during the car journey (e.g., increase/decrease of the congestion level, road incidents etc), the optimal route should be re-evaluated as soon as an update in traffic conditions is available. Choosing an appropriate route planning algorithm among the existing algorithms in the literature to apply it in real road networks is an important task for any transportation application. In this paper, we first present a classification of the different route planning algorithms, and then explain how we compare and analyze their performance when they are applied in real road networks. For the purpose of comparison, we simulate the behavior of these algorithms during runtime using Simulation of Urban Mobility (SUMO) package and TRACI. We have chosen Dijkstra, the most wellknown shortest path algorithm, to be the first algorithm to be implemented in SUMO. Upon reception of any traffic conditions update that affects the current optimal route of a car, we use TRACI to re-apply the algorithm and change this cars route accordingly. In the near future, our target is to simulate other algorithms and compare their performance based on the quality of the obtained best route.","PeriodicalId":200139,"journal":{"name":"2012 First International Workshop on Vehicular Traffic Management for Smart Cities (VTM)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133254840","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An integrated transport advisory system for commuters, operators and city control centres","authors":"A. Maitra, S. Bhadkaria, C. Ghosh, S. Paul","doi":"10.1109/VTM.2012.6398699","DOIUrl":"https://doi.org/10.1109/VTM.2012.6398699","url":null,"abstract":"This paper describes a solution that provides dynamically updated transport information to the mobile commuters, public transport operators and city control centre in a seamless manner. Successful vehicular traffic management needs more and more people availing public transport. This can be achieved only by optimizing the existing transport systems, managing dynamic demand forecasts and real-time contextual transport information sharing amongst all stakeholders. The integrated framework proposed in the current work benefits commuters both in planning their travel as well as by providing them reactive options to counter unforeseen events. It assists the transport operators to optimally plan vehicle operations for providing improved commuter care. The solution also benefits the city control centres by providing current and perceived near and distant future scenarios. The application is hosted on cloud and scalable to cater to individual commuters and vehicles.","PeriodicalId":200139,"journal":{"name":"2012 First International Workshop on Vehicular Traffic Management for Smart Cities (VTM)","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116406153","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}