13 December Traffic Flow Analysis in Cities December 13, 2018 By Gina Wurms tourism, travel and transportation |WiFi|, |server based|, |Bluetooth Classic| 0 In large cities and tourist regions, like the ones in the Middle East, potential for optimization in a variety of fields can be found and exploited by conducting a traffic flow analysis. At a glance collection, evaluation and analysis of data discovery of optimization potential data-driven decision-making Problem Definition In numerous cities, it is a frequent occurrence that opportunities are missed, suboptimal decisions are made and processes aren’t running smoothly because existing data isn’t analyzed adequately or important data isn’t gathered at all. Solution By collecting data in cities and using an analysis software, a lot of benefits can be realized in a variety of areas amongst which are traffic, tourism and retail. A good data base can be created by collecting relevant data along traffic routes such as highways and train stations. Via the smartphones of the road users position data as well as various other information that provide valuable insights, for example into the home country of the smartphone owner, can be collected. The gathered data can be analyzed in a software and used for a variety of applications. By measuring the traffic volume and the occupancy rates of roads, it is possible to identify dense traffic and give road users information regarding delay times and alternative routes on digital road signs. The tourism industry also benefits from the collected data as the information where people are coming from and which places and sights they are most interested in helps the tourism association to target these groups better. Shopping centers can profit as they can adapt their offerings and advertisements to appeal to the people who are visiting. Furthermore, it is possible for shopping center operators to make data-driven strategical decisions, for example concerning the opening of further branches. Technical Implementation Infsoft Locator Nodes, which are connected to the power grid and the internet, are installed along roads and other traffic routes. The Locator Nodes detect Wi-Fi and Bluetooth signals of smartphones, for example in passing cars. This way, in addition to position data, further relevant information concerning the smartphone owners can be collected. The data is sent to the infsoft LocAware platform® and evaluated in infsoft Analytics in the form of graphs and diagrams. Historical data can be accessed at any time in order to measure the success of implemented actions and discover further optimization potential. Furthermore, reports can be customized in order to fit the users’ particular requirements. Use Case PDF for Download Get the white paper for free Great introduction to the topic of indoor positioning Download Related Articles People Flow Analysis on Campus Areas By implementing a tracking solution on large campus areas, the way people move on the premises can be visualized and analyzed in order to discover optimization potential. Read More Occupancy Analysis in Fitness Studios The analysis of position data in fitness studios contributes to an improved utilization and an optimized experience for members. Read More Automated Workflow Management in Offices This use case by infsoft illustrates how the use of software tools enable the automatic creation and assignment of tasks. Read More Automated Workflow Management for Security Personnel Automated, geo-based assignment of tasks to security personnel enables employees to quickly locate and resolve problems. Read More Tracking Visitor Flows in Stadiums By tracking visitor flows in stadiums (for sports and other kinds of events), the security can be increased and the overall visitor experience can be improved. Read More Analysis of Consumer Behavior in a Supermarket In a supermarket, the customers' movements are analyzed in order to gain insight into their habits and their buying behavior. Read More Comments are closed.