Road Freight Fleet Management Systems
- Summary
- Taxonomy & description
- First principles assessment
- Evidence on performance
- Policy contribution
- References
Road freight fleet management systems generally consist of a number of telematic systems which use remote devices on both freight vehicles and trailers to control and monitor freight operations and present this data in a useable format to freight managers, either as real time data or static data. The effective use of these systems can lead to improvements in fleet efficiency and productivity via reductions in fleet mileage, operational costs and fuel consumption. In addition effective fleet management can lead to improvements in safety and a reduction in the environmental impact of freight fleets. To maximise the impact of road freight fleet management systems careful fuel management, driver training and training in the use of the freight fleet system should be seen as being essential. In a Good Practice Guide (341) issued by the Department for Transport (DfT) (2003) seven potential functions of fleet management systems were outlined. The full list is outlined below, but certain applications will suit different hauliers more depending upon the size of their fleets and the type of operations they carry out.
- Data on the performance of both drivers and vehicles;
- Vehicle tracking systems;
- Text messaging communication;
- Trailer tracking;
- Paperless manifest and proof of delivery;
- Traffic information and
- On-board navigation systems.
The impacts on key policy objectives and on problems will differ according to the features of the fleet management system in place. The main winners of the introduction of effective road freight fleet management will be freight hauliers and those receiving and forwarding freight consignments, though there will also be benefits for other road users and residents within urban areas who will benefit from a reduction in excess lorry miles, idling, safer driving styles and better maintained vehicles.
Terminology & Technology
Road freight fleet management systems generally consist of a number of telematic systems which use remote devices on both freight vehicles and trailers to control and monitor freight operations and present this data in a useable format to freight managers, either as real time data or static data. The effective use of these systems can lead to improvements in fleet efficiency and productivity via reductions in fleet mileage, operational costs and fuel consumption. In addition effective fleet management can lead to improvements in safety and a reduction in the environmental impact of freight fleets. To maximise the impact of road freight fleet management systems careful fuel management, driver training and training in the use of the freight fleet system should be seen as being essential. In a Good Practice Guide (341) issued by the Department for Transport (DfT) (2003) seven potential functions of fleet management systems were outlined. The full list is outlined below, but certain applications will suit different hauliers more depending upon the size of their fleets and the type of operations they carry out.
- Data on the performance of both drivers and vehicles;
- Vehicle tracking systems;
- Text messaging communication
- Trailer tracking;
- Paperless manifest and proof of delivery;
- Traffic information and
- On-board navigation systems.
With over 70 companies offering freight fleet tracking systems it is impossible to outline all the possible fleet management systems on offer in the market place. However, each of fleet management system offers some combination of the following components:
a) Hardware
This is equipment that is fitted to the vehicle/trailer and into the haulier's office to collect data. The basic on-board hardware will usually include the following technology:
- On-board computer - a small device that collects and stores data from the vehicle and/or reads a Global Positioning System (GPS) and controls data communications;
- Fuel flow meter - this measures the amount of fuel used by the engine and provides an important input to the on-board computer, especially when better fuel management is an objective;
- GPS Receiver - usually a passive device (such as a radio receiver). It reads signals from up to 12 satellites (but needs a minimum of 3) and calculates a vehicle's surface position to within 10 to 20 metres or 1 to 5 metres if differential GPS is used;
- Communication Module - a sophisticated box of electronics and software. It acts as the gateway between the vehicle equipment and the communications network;
- Driver Terminal/Keypad - Usually made up of a small screen and keyboard/key pad though increasing portable units are being used;
- Navigation module - an in cab display that provides turn by turn instructions (graphically, verbally or both);
- Trailer tracking - a dedicated unit for trailers that are self contained and include a GPS receiver, communications modules, control electronics and batteries for when the trailer isn't connected to the vehicle; and
- Other equipment - driver coaching devices (to promote more economic driving), delivery note and invoice printers, bar code wands and terminals that can record customer signatures electronically for proof of delivery applications.
b) Data Transfer
This is how data collected from the vehicle/trailer is transmitted to the office. For those hauliers who wish to have real time information the most common solutions are via the mobile phone network (GSM) or SMS. Some solutions offer satellite data communications. If real time data is not required (e.g. fuel usage) then data can be downloaded when the vehicle returns to its depot using wireless or direct cable connection.
The data flow is likely to be both ways between the vehicle and the vehicle control centre. The potential flow of data to the vehicle includes the following:
- Manifest - drops/addresses/route;
- Manifest modifications en route;
- Text messages;
- Voice - operations/turn by turn navigation;
- Vehicle disabling commands;
- Traffic status en route;
- Route recommendation and modification;
- System configuration/calibration.
The potential flow of data from the vehicle to the office includes the following:
- Vehicle or trailer location at calibrated intervals or upon request;
- Vehicle location when entering or leaving a 'geo-fence' (virtual fence placed around a destination to inform a depot of a vehicles imminent arrival);
- Vehicle location when panic alarm triggered;
- Vehicle location when fridge or other alarm triggered, e.g. off route;
- Confirmation of delivery specified in electronic manifest;
- Proof of delivery - electronic signature;
- Consignment tracking - barcode etc;
- Text messages;
- Driver identification;
- Fuel consumption - trip/totals;
- Driving style - speed/revs/idling/braking;
- Timed trip data - start, stops, average speed, distance;
- Door openings - time/ duration/ location;
- PTO activity;
- Driving hours;
- Engine performance - e.g. temperatures;
- Trailer identification and mileage.
c) Management Software
This is how the data collected is transformed into useful information to assist the haulier in his management of the fleet. This may take many forms, including a custom report containing key performance indicators/information, mapping and text messaging facilities or an order tracking system linked with ordering and accounting software. The key feature of the software is that it provides the haulier with all the information they require to help manage the fleet.
Why introduce freight fleet management?
The impetus for the introduction of effective fleet management systems comes, very much from hauliers and to a lesser extent their customers. The financial benefits and improvements to the operation of freight services are the key drivers. The effective use of these systems can lead to improvements in fleet efficiency and productivity via reductions in fleet mileage, operational costs and fuel consumption. Figures from the DfT (2003) suggest that the minimum saving from effective fleet management systems is in the region of 5% of overall fuel and labour costs, with 10% a more likely outcome. The sources of these savings are likely to be:
- On board driver coaching & data recording of the performance of the driver and vehicles. This results in more economical and safer driving and identifies any problems with the vehicle which allows preventative maintenance as opposed to prescriptive maintenance. Taken together these can lead to reductions in fuel consumption, vehicle maintenance and insurance premiums (as accident levels are reduced).
- Improved fleet utilisation, leading to reductions in vehicle kms and driver costs;
- On-board navigation and traffic information - leading to reduced off-route vehicle mileage and idling in congested areas (by avoiding them); a reduction in driver costs and a reduction in delivery time so an increase in productivity (more drops).
There are also a number of benefits for customers, in the shape of improved service reliability and better co-ordination of deliveries which can lead to improvements in the whole logistics chain, particularly when systems offer live vehicle tracking, paperless manifest and proof of delivery.
Demand impacts
The introduction of effective fleet management systems has very important “side benefits” that include a reduction in fleet mileage, idling and driver performance which will lead to reductions in congestion, environmental costs and improvements to safety (better driving styles, better maintained vehicles and more suitable in-cab communication). These road freight responses are reflected in the tables below. For the average road user however, the introduction of an effective road freight fleet management system is going to have little impact upon their demand patterns and responses. It should however reduce the incidence of accidents upon the road and also the levels of congestion.
Responses and situations | ||
Response | Reduction in road traffic | Expected in situations |
Change departure time to avoid congestion. | ||
Change route to avoid congestion. | ||
No impact. | ||
Possible reduced empty running due to better information for freight managers. | ||
Reduced cost for road freight may lead to mode switch from rail freight. | ||
No impact. | ||
No impact. |
= Weakest possible response | = Strongest possible positive response | ||
= Weakest possible negative response | = Strongest possible negative response | ||
= No response |
Short and long run demand responses
The introduction of effective road freight fleet management systems will change demand for road freight, but once again will not have a significant impact upon the demand responses of the average road user.
Demand responses | |||||
Response | - | 1st year | 2-4 years | 5 years | 10+ years |
To avoid congestion | |||||
To avoid congestion | |||||
- | |||||
Due to more efficient utilisation | |||||
From rail to road freight | |||||
Not relevant | |||||
Not relevant |
= Weakest possible response | = Strongest possible positive response | ||
= Weakest possible negative response | = Strongest possible negative response | ||
= No response |
Supply impacts
The introduction of effective road freight fleet management systems will not have any significant impact on the supply of transport facilities.
Financing requirements
The costs of introduction of road freight fleet management systems will differ depending upon what features the system has and the size of the haulier’s fleet to be ‘wired up’. Figures taken from DfT (2003) suggest that a sophisticated application made up of several pieces of on-board hardware, networked software and integration with third party software would typically cost between £1,500 and £3,000 per vehicle, with straightforward vehicle tracking systems costing around about £1,000.
Expected impact on key policy objectives
The impacts on key policy objectives will differ according to the features of the fleet management system in place. For the purposes of the tables below an assumption has been made that an intensive fleet management system has been put in place.
Contribution to objectives | ||
Objective |
Scale of contribution |
Comment |
Improved fleet utilisation, navigational aids and monitoring of traffic black spots helps reduce off-route vehicle mileage, idling and time spent making deliveries. Monitoring of driving style and vehicle performance also bring major benefits. |
||
By reducing off-route vehicle mileage and idling. |
||
Reduction in off-route vehicle mileage and idling will lead to reductions in noise and air pollution. |
||
No impact |
||
Reduction in off-route vehicle mileage and an improvement in driving style will improve safety. |
||
The improvement in fleet efficiency is likely to stimulate growth in the overall economy. |
||
The financial gains due to improved fleet efficiency are very likely to outweigh implementation and operational costs. |
= Weakest possible positive contribution | = Strongest possible positive contribution | ||
= Weakest possible negative contribution | = Strongest possible negative contribution | ||
= No contribution |
Expected impact on problems
Contribution to alleviation of key problems | ||
Problem |
Scale of contribution |
Comment |
Congestion-related delay |
Improved fleet utilisation, navigational aids and monitoring of traffic black spots helps reduce off-route vehicle mileage. In turn this should benefit other road users who will experience a reduction in traffic and congestion levels. In the long-term trip generation may erode such benefits. |
|
Congestion-related unreliability |
The reduction in off-route vehicle mileage and delivery time, particularly during the am and pm peak will help improve reliability for other road users. In the long-term trip generation may erode such benefits. |
|
Community severence |
Through reduction of off-route mileage. |
|
Visual intrusion |
Through reduction of off-route mileage. |
|
Lack of amenity |
Through reduction of off-route mileage. |
|
Global warming |
Reduction empty running and idling will help reduce traffic-related CO2 emissions. In the long-term trip generation may erode such benefits. |
|
Local air pollution |
Reduction in off-route vehicle mileage and idling will help reduce emissions of NOx, particulates and other local pollutants. |
|
Noise |
Reduction in off-route vehicle mileage and idling will help reduce traffic volumes. |
|
Reduction of green space |
No impact. |
|
Damage to environmentally sensitive sites |
No impact. |
|
Poor accessibility for those without a car and those with mobility impairments |
No impact. |
|
Disproportionate disadvantaging of particular social or geographic groups |
No impact. |
|
Number, severity and risk of accidents |
Reduction in off-route vehicle mileage, better vehicle maintenance and improvement in driving style will help reduce the number of accidents and their severity. |
|
Suppression of the potential for economic activity in the area |
Increased freight transport efficiency may help generate overall economic growth. |
= Weakest possible positive contribution | = Strongest possible positive contribution | ||
= Weakest possible negative contribution | = Strongest possible negative contribution | ||
= No contribution |
Expected winners and losers
The main winners of the introduction of effective road freight fleet management will be freight hauliers and those receiving and forwarding freight consignments. From a hauliers’ viewpoint there will be significant operational savings via reductions in fleet mileage, fuel consumption and labour costs. For those receiving and forwarding freight consignments there will be benefits from a more reliable service and potentially shorter delivery time. In particular there are likely to be benefits to the overall logistics chain and manufacturing process from being able to know where exactly freight consignments are, when they will be leaving a depot/plant and when they will be arriving at a depot/plant.
On a lesser scale there will be benefits for other road users and residents within urban areas who will benefit from a reduction in excess lorry miles, idling, safer driving styles and better maintained vehicles that will result from features such as on-board navigation systems, traffic information systems, driver monitoring/coaching and vehicle monitoring.
Winners (there are no losers for this instrument) | ||
Group |
Winners/Losers |
Comment |
Large scale freight and commercial traffic |
Likely to make substantial operator cost savings and see an improvement in customer satisfaction. Although rail freight hauliers may lose some business. In the long-term trip generation may erode such benefits. |
|
Small businesses |
Likely to experience an improvement in the reliability and delivery times of freight consignments. In the long-term trip generation may erode such benefits. |
|
High income car-users |
Likely to experience an improvement in the reliability and delivery times of freight consignments. In the long-term trip generation may erode such benefits. |
|
People with a low income |
No impact |
|
People with poor access to public transport |
No impact |
|
All existing public transport users |
Bus based users may benefit from a reduction in congestion levels within urban areas. In the long-term trip generation may erode such benefits. |
|
People living adjacent to the area targeted |
No impact. |
|
People making high value, important journeys |
Will tend to benefit from a reduction in congestion levels within urban areas. In the long-term trip generation may erode such benefits. |
|
The average car user | Will tend to benefit from a reduction in congestion levels within urban areas. In the long-term trip generation may erode such benefits. |
= Weakest possible benefit | = Strongest possible positive benefit | ||
= Weakest possible negative benefit | = Strongest possible negative benefit | ||
= Neither wins nor loses |
Barriers to implementation
Scale of barriers | ||
Barrier | Scale | Comment |
Legal | There are no legal or regulatory restrictions. | |
Finance | Such systems can be expensive for operators, but the cost to the city is usually small. | |
Governance | Most schemes are implemented by freight operators themselves. | |
Political acceptability | Politicians and the public are rarely aware of such schemes. | |
Public and stakeholder acceptability | The public are rarely aware of such schemes. | |
Technical feasibility | Some systems are still in the developmental stage. |
= Minimal barrier | = Most significant barrier |
Evidence on performance
A number of case studies are reported by the manufacturers of a number of road freight fleet management systems and also by DfT (2003) itself. These refer to a range of road freight fleet systems which have widely differing features. The information is brief for the most part and as such this report has brought together a collection of case studies that amalgamates the contribution to objectives.
Case Study One - Marks and Spencer (ISOTRAK)
Marks and Spencer chose to equip its General Merchandise distribution operation and vehicle fleet with a system comprising in-cab computer equipment, a handheld terminal for the driver and a control centre. Collecting real-time information, it provides analysis of actual performance against planed and reported feedback to monitor performance against KPIs. The system was installed 3 years ago as a pilot scheme to provide environmental and customer service benefits, however it has since played such a major role in streamlining costs that it has been rolled out to over 240 vehicles. The fleet management system has resulted in a 15% reduction in vehicle mileage and an 8% improvement in fuel consumption, all of which have had a significant impact on the overall operating costs for Marks and Spencer.
Marks and Spencer put the cost savings down to the ability of the fleet management system to close the information gap in the supply chain, the one between the truck leaving the yard and coming back. It gives the fleet operator the ability to access information on the exact position, performance and status of each vehicle in the fleet regardless of fleet size or number of sites. The fleet management system also allows vehicles to be shared between different depots and re-routed away from traffic jams, to accommodate changing pick up or delivery times and immediately respond to backhaul opportunities.
Case Study Two - Sainsburys (ISOTRAK)
Sainsbury’s initially began to trial ISOTRAK at the Sainsbury’s Rotherham depot, before rolling it out to the North Fleet and East Kilbride. The ISOTRAK system comprised of in-cab computer equipment, a handheld terminal for the driver, a control centre at Sainsbury’s HQ and a hub at ISOTRAK HQ. The system collected real-time information, providing analysis of actual performance against planned and reporting feedback to monitor performance. Sainsbury’s planned to implement the system in its entire UK fleet by 2004.
Sainsbury's found a number of tangible benefits from the system which included:
- improved and safer communication between transport office and driver via SMS;
- real time vehicle tracking allows depots to share vehicles and dynamically re-route vehicles away from areas of congestion, or to accommodate changing pick-up or delivery times;
- depots receive automatically notification when a truck is approaching with a delivery ('geofence') to help depot staff ensure space is ready; and,
- the greater 'visibility of trucks has helped to improve back-loading, reduce the number of vehicles required and the number of kilometres travelled.
Case Study Three - MinorPlanet
The case studies for companies using the Minor Planet fleet management system are presented in the Table below.
Company | Business | Fleet | Key Benefits | Key Results |
Forge Group | Fencing/barriers | 3 vans | Fuel: Bills cut by £500 per month; Labour – cut by £1,296 per month; Environment – reduction of idling and greater fuel efficiency reduced air pollution | Saved £21,552 per year on fuel and wages. |
Worldwide Mobility | Disability Aids | 4 HGVs | Fuel: Bills cut by £700 per month; Mobile phones – bills cut by 10% and improved safety; Insurance premiums – 10% discount given (improved security aspects of vehicle tracking) | Saved £8,400 per year on fuel. |
Admiral Signs | Signs | 9 vans | Labour: Bills cut by £250 per week; Fuel – rerouting has saved £3,600 per year; Insurance – secured a premium (improved security aspects of vehicle tracking). | Saved £16,600 per year on wages and fuel. |
Riggot & Co Ltd | Road markings | 12 vans | Labour: Bills cut by £250 per week; Fuel – ability to re-route and on-board navigation have saved 15% on fuel costs; Quality Standards – the fleet management has helped the firm qualify for its Environmental Standard ISO 14001. | Saved £11,040 on wages and 15% on fuel. |
Northumbrian Water | Transporting Bio-Solids | 19 tankers & 2 ships | Fleet Utilisation: Reduced original fleet from 21 to 19 due to efficiency in route planning and scheduling; Fuel – reduction in idling; Labour – reduced overtime by increasing productivity. | Saved £350,000 on vehicle leasing and £20,000 per year on fuel and overtime. |
Case Study Four - Glanbia Food Services & Pinpoint Tracker
Glanbia Food Services is a fresh and chilled food supplier based at Tamworth, Staffordshire operating 120 HGVs. They installed BT Cellnet's Pinpoint Fleet Management System, which uses TRACKER Network's Communicator technology. The system provides real time, 24 hour data on:
- vehicle location;
- mileage and speed;
- fuel consumption;
- driver hours; and,
- temperature of goods in transit.
Trials established that the fleet management system could save 10% of the current fuel budget of £2 million per year by enabling drivers to be re-routed quickly and efficient, that they followed recognised routes at authorised speeds and reduced vehicle idle time. Even more important to Glanbia was the ability of the system to help them to ensure that the produce they were hauling was in perfect condition throughout the journey by monitoring the temperature of the trailer and alerting the driver if it fell outside a specified range.
Contribution to objectives |
||
Objective | Contribution | Comment |
Improved fleet utilisation, navigational aids and monitoring of traffic black spots has helped reduce off-route vehicle mileage, idling and delivery times. Monitoring of driving style and vehicle performance also brings major benefits. In the long-term trip generation may erode such benefits. | ||
Reduces off-route vehicle mileage and idling. In the long-term trip generation may erode such benefits. | ||
Reduces off-route vehicle mileage and idling, leading to reductions in both noise and air pollution. In the long-term trip generation may erode such benefits. | ||
There was no discernable impact on equity and social inclusion. | ||
Reduction in off-route mileage and an improvement in driving style will improve safety. | ||
The improvement in fleet efficiency may stimulate growth in the overall economy. | ||
The gains in fleet efficiency are very likely to outweigh the implementation and operational costs. |
= Weakest possible positive contribution | = Strongest possible positive contribution | ||
= Weakest possible negative contribution | = Strongest possible negative contribution | ||
= No contribution |
Contribution to alleviation of key problems | ||
Objective | Scale of contribution | Comment |
Congestion-related delay | Improved fleet utilisation, navigational aids and monitoring of traffic black spots has helped reduce off-route vehicle mileage. In turn this should benefit other road users who will experience a reduction in traffic and congestion levels. In the long-term trip generation may erode such benefits. | |
Congestion-related unreliability | The reduction in off-route vehicle mileage and delivery time, particularly during the am and pm peak will help improve reliability for other road users. In the long-term trip generation may erode such benefits. | |
Community severance | Through reduction of off-route mileage. In the long-term trip generation may erode such benefits. | |
Visual intrusion | Through reduction of off-route mileage. In the long-term trip generation may erode such benefits. | |
Lack of amenity | Through reduction of off-route mileage. In the long-term trip generation may erode such benefits. | |
Global warming | Reduction empty running and idling will help reduce traffic-related CO2 emissions. In the long-term trip generation may erode such benefits. | |
Local air pollution | Reduction in off-route vehicle mileage and idling will help reduce emissions of NOx, particulates and other local pollutants. | |
Noise | Reduction in off-route vehicle mileage and idling will help reduce traffic volumes. | |
Reduction of green space | No evidence given. | |
Damage to environmentally sensitive sites | No evidence given. | |
Poor accessibility for those without a car and those with mobility impairments | No impact. | |
Disproportionate disadvantaging of particular social or geographic groups | No impact. | |
Number, severity and risk of accidents | No evidence given but reduction in off-route vehicle mileage, better vehicle maintenance and improvement in driving style are likely to have reduced the number of accidents and their severity. | |
Suppression of the potential for economic activity in the area | No evidence given but increased freight transport efficiency may help generate overall economic growth. |
= Weakest possible positive contribution | = Strongest possible positive contribution | ||
= Weakest possible negative contribution | = Strongest possible negative contribution | ||
= No contribution |
Appropriate contexts
Road freight fleet management systems are very suitable in all areas, so it is difficult to rate the suitability of the system other than to identify the areas in which it might have more impact.
Appropriate area-types | |
Area type | Suitability |
City centre | |
Dense inner suburb | |
Medium density outer suburb | |
Less dense outer suburb | |
District centre | |
Corridor | |
Small town | |
Tourist town |
= Least suitable area type | = Most suitable area type |
Adverse side-effects
Reduced cost for road hauliers may in the long-term encourage further mode shift to road from rail. It may also encourage an increase in overall number and length of freight journeys.
References
Department for Transport (2003) "Telematics Guide". Good Practice Guide 341.