Bridge strikes are a significant issue in the logistics and transportation industry, leading to costly damages and operational disruptions. These incidents occur when a vehicle, typically a large truck, collides with a bridge that has a lower clearance than the vehicle's height. The prevention of bridge strikes involves a combination of technology, training, and operational strategies. This blog explores the various methods to prevent bridge strikes, focusing on the pros and cons of each approach.
The Scale of the Problem
Bridge strikes can cause severe damage to infrastructure, vehicles, and goods. They also pose safety risks to drivers and the public. Statistics show that in the UK alone, there are over 2,000 bridge strikes annually, with significant financial implications for repair and operational downtime. Addressing this issue requires a multi-faceted approach that leverages existing and emerging technologies.
Existing Solutions
Driver Training and Awareness
One of the fundamental methods to prevent bridge strikes is through comprehensive driver training. Educating drivers about the risks and providing them with the knowledge to identify and avoid potential hazards is essential. Training can be delivered through various mediums, including online resources, in-person sessions, and ongoing refresher courses. Despite its importance, driver training alone is not foolproof due to the reliance on human memory and attention, which can be fallible under stress or fatigue.
Sat Nav and Routing Technology
Advanced Sat Nav systems and routing technology are instrumental in preventing bridge strikes. These systems can be programmed with the vehicle's height to avoid routes with low bridges. However, this method's effectiveness depends heavily on drivers inputting accurate vehicle height data and consistently using the technology. The variability in tractor and trailer combinations can complicate this approach, as the height data may not always be updated or accurate.
Telematics Systems
Telematics systems use GPS signals and geofencing to warn drivers of upcoming low bridges. These systems can provide real-time alerts in the cab, helping drivers take corrective action before reaching a low clearance point. While telematics systems are effective in many cases, they are not without drawbacks. Excessive alerting and false positives can lead to alert fatigue, causing drivers to ignore warnings. Additionally, the reliance on accurate and up-to-date geofencing data is crucial for these systems to function correctly.
AI Camera Systems
AI camera systems offer a more sophisticated approach by reading height restriction signs and low bridge dimensions in real-time. These systems cross-reference the vehicle's height with the detected bridge heights to alert the driver if a potential strike is imminent. AI cameras provide a high level of accuracy but are often expensive and require clear visibility and complex calibration. These factors can limit their practical deployment across large fleets.
VUE’s approach
Using Radio Frequency technology, the VUE systems are able to tag vehicles with heights at the point of installation ensuring that the system always has accurate height data without requiring driver input. This method also addresses the variability issue in tractor-trailer combinations and reduces human error. However, developing a system such as this required in-depth testing to avoid issues like signal interference.
Predictive Algorithms
Predictive algorithms enhance the effectiveness of LBAS by analysing live GPS data and predicting potential risks based on the vehicle's route and direction. These algorithms trigger alerts within a specified timeframe (e.g., 60 seconds before reaching a low bridge), providing drivers with ample time to react. The main advantage of predictive algorithms is their ability to minimise false positives, making alerts more reliable and actionable. The development and integration of these algorithms, however, demand significant investment in R&D and continuous updates to maintain accuracy.
Comprehensive Reporting and Analysis
To further mitigate bridge strike risks, robust reporting and analysis tools are essential. VUE’s Low Bridge Alerting System logs every alert, including the location, vehicle height, bridge height etc into VUEhub. This data allows fleet managers to analyse incidents, identify patterns, and implement targeted interventions. Comprehensive reporting also aids in accountability and continuous improvement of the prevention strategies.
Conclusion
Preventing bridge strikes requires a holistic approach that combines driver training, advanced technology, and robust operational practices. While no single solution can eliminate the risk entirely, integrating multiple methods can significantly reduce the likelihood of such incidents. Fleet managers must weigh the pros and cons of each technology, considering factors like cost, accuracy, ease of use, and the specific needs of their operations. As technology continues to evolve, ongoing innovation and collaboration within the industry will be key to enhancing the safety and efficiency of transportation networks.
VUEgroup - Combined Cameras and Telematics