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Solving the biggest mobility challenges requires a granular understanding of the local ecosystem and how people move throughout it. Historic Traffic Patterns offers a glimpse into how vehicles have traveled throughout a region or roadway network in the past and can assist in predicting future trends. While almost any organization can benefit from gaining a better understanding of the mobility ecosystem, these five industries are poised to gain immense value from access to Historic Traffic Patterns:
The role of government across local, state, and federal levels is to make the community a better place to live. Part of that responsibility is ensuring infrastructure serves the public in the best way and public dollars are prioritized to meet evolving community needs. Historic Traffic Patterns lets governments identify major mobility pain points using historical data and gain a deeper understanding of the condition of roads, safety hazards and congestion patterns. This allows for a more accurate analysis of traffic flow including during major weather events and other emergencies and can inform evacuation route planning, infrastructure design and even traffic signal optimization. With reliable historic traffic data, governments can better prioritize projects and assess the impact of calming measures that have been put in place in the past. Actionable insights that are quickly and cost-effectively derived from this data can help mitigate danger, make commuting more efficient, and optimize public funds.
The US government recently passed a spending bill designed to invest +$1 trillion in roads, bridges, and public infrastructure – focused on fixing the imbalance between volume of traffic on roadways and physical capacity of the road network. For civil engineers, Historic Traffic Patterns can be hugely influential in landing new projects, by helping government clients to identify areas that could benefit from these funds. No longer limited by physical sensor data, civil engineers can use historical traffic data to present more complete and accurate insights to clients in a visually pleasing way, determine travel trends and congestion bottlenecks, and schedule maintenance based on existing commuter patterns. It can also assist in confidently implementing new infrastructure designs and modeling how effective traffic control measures will be – both fundamental pieces to securing funding and winning bids.
Historic Traffic Patterns can help real estate professionals by accelerating their understanding of traffic flow and travel patterns around current and potential sites. This helps inform where it makes sense to invest, divest or exit. And because it covers 95% of US roadways across both urban and rural areas, historic traffic data lets real estate professionals find new opportunities to grow their business while meeting the needs of clients wherever they are located. Most real estate professionals typically rely on public traffic reports that are published on a limited basis and don’t always cover the location they need. With Historic Traffic Patterns from Wejo, vehicle journey data can be customized to get a granular view of traffic trends across multiple sites, during specific times of day or seasons of the year – making it far more useful. Quick access to historical traffic data generated by vehicles themselves can be an innovative way for real estate pros to separate from competition while delivering a better, more trusted client service.
Mapping and Navigation
Providers of mapping and navigation solutions must constantly be evaluating their data sources to ensure end users are getting the most accurate read on road networks. Historic Traffic Patterns can help these providers set themselves apart from competitors by bringing lane level accuracy to their data strategy, delivering more volume in a cost-effective way. With privacy terms built into its design Historic Traffic Patterns also lets providers meet regulatory requirements without sacrificing output.
Historic Traffic Patterns is a powerful tool for logistics companies tasked with creating smart routing plans and providing accurate ETAs. By analyzing how traffic has moved in the past, including typical roadway speeds in certain weather conditions and congestion patterns during commute times, it can help ensure routes are efficient and customer deliveries come when they say they will. It also provides granular details on highly dense urban centers and can inform strategies for parking and refueling that won’t delay trips and frustrate drivers.