{"id":2403,"date":"2020-06-26T13:53:37","date_gmt":"2020-06-26T13:53:37","guid":{"rendered":"https:\/\/quicktransportsolutions.com\/blog\/?p=2403"},"modified":"2020-06-26T13:53:38","modified_gmt":"2020-06-26T13:53:38","slug":"using-trucking-related-data-to-enhance-your-fleet-part-i","status":"publish","type":"post","link":"https:\/\/quicktransportsolutions.com\/blog\/using-trucking-related-data-to-enhance-your-fleet-part-i\/","title":{"rendered":"Using Trucking-Related Data to Enhance Your Fleet: Part I"},"content":{"rendered":"\n<p>Many of us understand that the trucking industry and trucking companies are changing at a rapid pace, and that is significantly impacted by the increased adaptation of technology. Trucking used to be considered an \u201cold-fashioned\u201d industry, but those days are long gone. The advances brought by technology are not a pipe dream.<\/p>\n\n\n\n<p>                                                                  [wp_ad_camp_2]                        <\/p>\n\n\n\n<p><\/p>\n\n\n\n<p>With all this additional technology comes a plethora of data\nthat is gathered &#8211; how do motor carriers organize and use that data to their\nadvantage? We have got the answers! In this two-part blog series, we are going\nto take a deep dive into the following topics: <\/p>\n\n\n\n<ul><li>How does blockchain influence trucking?<\/li><li>How can fleets better utilize data? <\/li><li>What is the timeline for fleets to implement\ndata gathering?<\/li><li>How can fleets implement data gathering and\nanalysis?<\/li><\/ul>\n\n\n\n<p>We want to provide you with information on how fleets can leverage\ndata to improve both the measurable and intangible aspects of managing a\ncommercial fleet. It used to be that not every motor carrier was either capable\nor in possession of the resources necessary to use big data to their advantage.\nBut those days have changed. <\/p>\n\n\n\n<p>As costs have come down and technology scales, it is easier\nthan ever before for fleets large or small to generate results from the data\nthey gather. Even single owner-operator businesses can access cloud-based\nsoftware systems for a fraction of the price they used to be offered for. <\/p>\n\n\n\n<p>Yet, the anxiety often doesn\u2019t come from a price\nperspective, it comes from a use perspective. Many trucking companies are more\nconcerned if there will be problems with adoption or truck driver buy-in. What\nhappens when there is an information overload?<\/p>\n\n\n\n<p><strong>How to Manage the Information Overload<\/strong><\/p>\n\n\n\n<p>We can help you manage the information overload. We will\ncover the following topics as we dissect this incredibly complex subject:<\/p>\n\n\n\n<ul><li>Information Overload <\/li><li>Leveraging Data <\/li><li>Cost Control <\/li><li>Safety <\/li><li>Maintenance <\/li><li>Data and Blockchain <\/li><li>Interpreting and Implementing Data <\/li><li>Setting and Monitoring Benchmarks <\/li><li>Data Management <\/li><\/ul>\n\n\n\n<p>\u201cData\u201d was one of the most popular buzzwords in almost every\nindustry in 2018. While data is already enabling meaningful progress in\ntrucking and beyond, it is important to remember that data on its own means\nvery little. Data points are bits of information, not self-contained (or even\nvisible) solutions. It takes data analysis, software, data-focused people, and\na strategic approach to turn data points into improved fleet operations.<\/p>\n\n\n\n<p>Far too many trucking companies assume that raw data by\nitself will solve all problems. Unfortunately, improperly managed data can\nactually do the opposite, wreaking havoc on operations and decreasing overall\nefficiency. The problem is magnified in today\u2019s hyper-complex truck\nmanufacturing environment. <\/p>\n\n\n\n<p>Modern trucks and equipment are chock full of sensors and\nconnectivity. Data science is advancing at break-neck pace. So why are many\nfleets slow to implement data-driven solutions? A single fleet can produce\nbillions of data points throughout the year, which can be disorienting for\nfleet managers lacking a plan for data management. <\/p>\n\n\n\n<p>The task for trucking companies now is now to put systems in place that not only collect data, but who are able to analyze the data points and put them to use. The industry focus has shifted from capturing billions of data points to helping improve fleet decision-making. For fleets, this means not just getting data, but determining actionable items from new big-data technologies. <\/p>\n\n\n\n<p>                                                                  [wp_ad_camp_2]                        <\/p>\n\n\n\n<p><\/p>\n\n\n\n<p>Fortunately, plenty of companies have stepped into the void.\nThird-party vendor companies of all stripes and sizes offer customizable\nsoftware solutions to help trucking companies parse the data and make better\ninformed operating decisions. <\/p>\n\n\n\n<p><strong>How to Best Leverage the Data<\/strong><\/p>\n\n\n\n<p>In his <a href=\"https:\/\/www.joc.com\/sites\/default\/files\/u45421\/Whitepapers\/GlobalSupplyChainIOT.pdf\">white\npaper<\/a> \u201cMake Global Supply Chains More Effective with Internet of Things,\u201d\nDr. Shardul Phadnis divides the implications of IoT data into three broad categories.\n<\/p>\n\n\n\n<ul><li>The first is information gathering: sensors will\nprovide exponentially higher amounts of data, and more types of data, from a\nvariety of sources. <\/li><li>The second category is information sharing:\nnon-serial data will be shared through Wi-Fi and cellular networks, instantly,\nwithout distortion or manipulation. <\/li><li>The third implication of IoT data discussed by\nDr. Phadnis is decision making. Decision makers will be able to leverage automatically\ngenerated data sets, algorithmic processes, and predictive models to make better\noperating decisions, the results of which will generate further data, which can\nbe closely monitored to assess outcomes. This sort of feedback-based process\nopens the door for constant adaptation and optimization of the process being\nmonitored.<\/li><\/ul>\n\n\n\n<p>As sensors have proliferated, so have AI systems, APIs, and\nother advanced interfaces to monitor and process outcomes. And even better, the\nsystems are easier to use and more user friendly than ever before. <\/p>\n\n\n\n<p>Data can be used to monitor many areas of a truck for\nmaximum efficiency and cost savings. For example, Bridgestone offers the MEMS\nEvolution, a data-driven system that monitors the tire pressure in Earthmover\ntires, records temperature, and pressure conditions in real time, and sends\nalerts when pressure or temperature reach problematic levels.<\/p>\n\n\n\n<p>While this technology is specifically designed for mining\nfleets, similar technologies have the capacity to soon be rolled out across the\nentire commercial trucking industry. For example, similar monitoring sensors\nare already being applied to a range of truck parts to monitor wear and\nperformance. And you don\u2019t need to have an advanced technical background to use\nthe sensors and monitor the data. <\/p>\n\n\n\n<p>Another area where data can help control costs is the current\nparking crisis, previously mentioned in the ELD mandates. Data can help to\nstreamline parking and control costs through updated apps and websites. MAASTO\n(an interstate transportation association that includes Illinois, Indiana,\nIowa, Kansas, Kentucky, Michigan, Minnesota, Missouri, Ohio, and Wisconsin) has\nnow rolled out a data-driven parking solution among member states. It monitors\nmore than 150 parking areas, relaying free information on parking availability\nto truckers via road signs, smartphone apps, and websites. That is a\nsignificant improvement over driving to each parking area to check.<\/p>\n\n\n\n<p>While traffic congestion and equipment longevity can be\naccurately tracked to mitigate costs, one more temperamental factor affecting\nthe commercial trucking industry is slightly more elusive: the weather.\nCurrently, inclement weather costs US fleets nearly $9 billion per year. That\nis no small amount of money directly attributed to mother nature. <\/p>\n\n\n\n<p>There are a number of data-driven offerings that help\ntruckers plan for or avoid challenging weather conditions. If this sounds a bit\nlike an overhyped weather forecast, it is not. Real-time weather data can be\ngathered from individual roadways and factored into existing weather forecasts.\nWhen you are running long-haul routes across the country, this kind of data can\nbe critical to keeping you on time.<\/p>\n\n\n\n<p>These insights can be combined with up-to-the-minute data\nabout traffic, accidents, and road closures, and can serve alternative,\ntime-saving routes to the driver\u2019s GPS\u2014a massive upgrade over a color-coded\nradar map. Moving forward, it\u2019s likely that road-specific data will be gathered\nfrom every truck on the road\u2014similar to current practices in aviation\u2014to allow\neven more accurate forecasting across the industry.<\/p>\n\n\n\n<p><strong>Creating a Better Safety Environment<\/strong><\/p>\n\n\n\n<p>The efficient use of data can also make commercial\ntransportation safer. Fleet managers can monitor a driver\u2019s average or maximum\nspeeds and take corrective action as needed. Truck drivers can receive alerts\nwhen they\u2019re heading into heavy congestion\u2014a big contributor to accidents\u2014and\nreroute accordingly. Data reveals which drivers show consistently high speeds,\nheavy braking, or frequent lane departure engagements, allowing fleets to\nretrain drivers and incentivize safer habits.<\/p>\n\n\n\n<p>Consider that there are also real intangible benefits to\ndata gathering.<\/p>\n\n\n\n<ul><li>Find correlations between weather and road\nsafety <\/li><li>Gather insights into truck driver behavior <\/li><li>Generate time savings with clear route\npredictions<\/li><\/ul>\n\n\n\n<p>In 2018, the US Department of Transportation announced that it would be experimenting with all three of these ways to use data to improve safety, launching two research projects. The first tracked the speed of anonymous trucks and see how closely speeds and road conditions correlate to accidents. The second experiment used Waze, a crowd-sourced traffic and navigation app, in hopes of assessing the risk of crashes based on the reported hazards from Waze users.<\/p>\n\n\n\n<p>                                                                  [wp_ad_camp_2]                        <\/p>\n\n\n\n<p><\/p>\n\n\n\n<p>Both studies revealed that trucking companies can take an\nactive role in improving their safety profile by incorporating traffic apps,\nweather monitoring systems, route management software, and much more. By\nadopting advanced technologies, fleets saw their overall level of safety go up.\n<\/p>\n\n\n\n<p>So, what is next for a trucking company who wants to find\nthe best way to use data to their advantage? In Part II of our series, we are\ngoing to discuss maintenance and blockchain. Join us!<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Many of us understand that the trucking industry and trucking companies are changing at a rapid pace, and that is significantly impacted by the increased adaptation of technology. Trucking used to be considered an \u201cold-fashioned\u201d industry, but those days are long gone. The advances brought by technology are not a pipe dream. [wp_ad_camp_2] With all &#8230; <a title=\"Using Trucking-Related Data to Enhance Your Fleet: Part I\" class=\"read-more\" href=\"https:\/\/quicktransportsolutions.com\/blog\/using-trucking-related-data-to-enhance-your-fleet-part-i\/\">Read more<span class=\"screen-reader-text\">Using Trucking-Related Data to Enhance Your Fleet: Part I<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":2123,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v18.4.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Using Trucking-Related Data to Enhance Your Fleet: Part I - Quick Transport Solutions Trucking Blog<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/quicktransportsolutions.com\/blog\/using-trucking-related-data-to-enhance-your-fleet-part-i\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Using Trucking-Related Data to Enhance Your Fleet: Part I - Quick Transport Solutions Trucking Blog\" \/>\n<meta property=\"og:description\" content=\"Many of us understand that the trucking industry and trucking companies are changing at a rapid pace, and that is significantly impacted by the increased adaptation of technology. 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