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How AI Can Help Fleets Reduce Risk When Planning Routes

by Ramit kaur
How AI Can Help Fleets Reduce Risk When Planning Routes

A fleet faces many risks in day-to-day operations. Proper route planning enables a business to reduce the risks faced by drivers on the road as well as improves their productivity. 

AI in route planning has transformed the way fleet managers make decisions. The use of route optimization software helps managers to compile and analyze data to determine safe driving routes for the drivers, cut costs and ensure smooth deliveries.  

The Role of Artificial Intelligence in Route Planning

Route planning involves choosing the best route for a vehicle to travel from one point to another. In some cases, it involves a simple route from point A to Point B. In some complex scenarios, it involves multiple stops over a fairly long route. 

A fleet manager has to analyze various factors such as types of roads, traffic patterns on each road,  number of turns along the way, number of traffic signals,  number of stops along the way, depot locations, detours required if any, driver schedules, best drives for a particular route and delivery times to choose the optimum route for a trip.  

Collecting and analyzing data on these multiple factors consumes time and there is a risk of human error. 

Route optimization software combines the power of Artificial Intelligence and machine learning to compile and analyze historical and real-time data to enable fleet managers to make quick decisions on route planning. 

It uses various features such as vehicle tracking system, driver behaviour tracking and telematics to create safe routes for drivers, minimize risks and ensure that every delivery is made on time.

How AI can help Reduce Risk When Planning Routes

  1. Provides Real-time Data

AI helps to monitor the route conditions in real-time. For example, even though you have selected the shortest and safest route for the trip, an accident on the way can cause traffic disruptions. 

The route optimization software uses GPS to capture real-time data about the happenings on the route and alert the driver to take a detour to avoid the traffic. 

AI can also alert on-road assistance teams in case the vehicle encounters any unexpected glitches during the drive to avert any mishaps and ensure the safety of the vehicle and the driver. 

  1. Eliminates Distractions 

Prior to AI, drivers had to listen to radio broadcasts to know about the weather on the route, traffic conditions and other information. They had to go through paper maps while driving to ascertain whether they are on the right route. 

The advent of AI in route planning eliminated all these disruptions. Now the use of AI in fleet management software ensures that drivers can get voice alerts from time to time. They can concentrate on driving safely while the navigation part is taken care of by AI. 

  1. Helps to Choose Safe routes

AI uses GPS and other complex software to detect risks on any given route and determine whether it is safe for the driver. It can easily detect any traffic jams, roadblocks, risky turns, bad weather and other issues that may make driving risky. It helps the driver to choose the safest route and reach the destination on time. 

  1. Ensures Uniform Distribution of Workload

When you are managing a huge fleet that consists of different vehicles and a large number of drivers, it is a tough job to distribute work uniformly. 

Uneven work distribution may lead to disputes in the drivers as some drivers may have a high workload due to the high volume of trips in their area and others may be sitting idle. The route optimization software helps to calculate the workload accurately and distribute workload uniformly. 

It also considers driver schedules to ensure that every driver gets uniform work. This ensures that the drivers are not overworked and increases job satisfaction. 

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  1. Monitor Driver behaviour 

Fleet managers can use the driver behaviour analysis tool in the fleet management software to monitor driver behaviours and identify risk behaviours such as rash driving, yawning, constant blinking, distracted driving, out of lane driving and slower reaction times. 

Fleet managers can reward safe behaviours and take corrective measures to reduce risky behaviours. It helps to increase the safety of the driver and others passengers on the road. 

AI has disrupted many processes in business management and fleet management is one of them. Artificial intelligence and machine learning have revolutionized fleet management. Enterprise fleet management software streamlines fleet management and eliminates errors in the process. 

Route optimization software uses historical and real-time data to determine the best routes to travel between different destinations. It eliminates the guesswork from the transportation process and gives accurate information about various factors such as traffic conditions, weather, roadblocks, and other risk factors.

It guides the drivers to choose the safest route to reach the destination quickly. It removes unnecessary distractions, ensures uniform distribution of workload and promotes safe driving behaviours. 

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