Intelligent information Systems for Transport vehicles


Top Tuning

Top Tuning has global technical, computer science and information technology expertise, through a specific network of computer science specialists and engineers, producing hardware and software that is brand-specific and vehicle market oriented within their own professional field. The company’s network developers have been writing intelligent software at OEM level for many years, our engineers have create many specialized hardware prototypes and have a clear understanding of the limitations and restrictions applied at any professional level.

Intelligent Services for Taxis

1. Using Smart Devices for Interactions in to the cabs. 30. Prediction of places for client pickups.
2. Feedback to taxi Driver – Driving behavior. 31. Analysis of results and “selfevolving” of the system.
3. Energy / Fuel Efficiency. 32. Cooperating Data Subsystems.
4. Eco Driving coaching. 33. Driver behavior Monitoring.
5. Connectivity V2CS & V2V. 34. Alerts system for taxi drivers.
6. Open data – data sharing – importing – exporting. 35. Taxi – Customer Relationship Management.
7. Vehicular trajectory data stream visualization. 36. Inter-connection and connection between central station, smart phone applications and other Taxi vehicles.
8. Vehicular demand and supply pattern mining. 37. Preventive maintenance and prognostics avoiding break downs and reducing repair costs.
9. Frequent vehicular route mining. 38. Infotainment.
10. Taxi availability mining at taxi stands for mobile users. 39. Taxi Connected Market Outlook.
11. Accidents assistance. 40. Convenience – Focused on building a closer relationship between taxi, a customer, a third user and the taxi organization.
12. Large Scale Intelligent Decision Support analysis / data mining for Fleets of Taxis. 41. Fleet management system evaluations.
13. Mining time-dependent attractive areas and movement patterns from taxi’s trajectory data. 42. Electric and Hybrid vehicles.
14. Network traffic and travel patterns discoveries. 43. Socialized Information Learning & Sharing for Taxi Drivers.
15. Trajectory data to discover attractive areas that people often visit. 44. Large scale observations of taxi driver behaviors.
16. Clustering data mining. 45. Air-condition monitoring.
17. Geographical data mining. 46. Age analysis and behavior models of the taxi drivers.
18. Prediction of potential taxi demand and suggestions. 47. Nationality analysis and behavior models of the taxi drivers.
19. Clustering Algorithms. 48. Digital Interviews to the taxi drivers (DI2TD).
20. Context-based Filtering. 49. Psychological Profiling Suggestions and Group Motivations, after analysis and mining on DI2TD data.
21. Predicting Hotspots with sub systems. 50. Reward System to Taxi Drivers or Taxi Driver Groups.
22. Events Ontology (automated and nonautomated). 51. System reports to Enhance & Refine business knowledge.
23. Modeling, storing and mining moving taxis databases. 52. Tourist’s & First Time Visitors information (automated or nonautomated).
24. Knowledge Discovering. 53. Fuel Prices monitoring.
25. Smart Vehicle Data. 54. Taxi 4 Clients & Clients 4 Taxi (personalizing).
26. Creating useful forecasts based on historical data. 55. Front & Cabin Video Monitoring System (silence mode) – data discovering.
27. Overlaying other real-time sources on the viewing screens. 56. Data Mining for Discovering of Unusual Patterns.
28. Pricing zones identification. 57. Repeated Reprocess of Historical Data after very long periods for extra sophisticated predictions and hidden knowledge discovery.
29. Time predictions. 58. Potential Marketing, Advertising applications for business to customer / passenger’s satisfaction, management of digitalized and personalized advertisements.

Purpose of project & Customers benefits

1. Creating opportunities in many areas, such as:

technological progress and advantages
Real-time crowd-sourcing and networking of the vehicles
Combine historical road data and road geometry data to make more intelligent and accurate computations / predictions
Use of device sensors (GPS receiver, accelerometers, compass, etc.) to compute the driver’s driving profile and the vehicle’s eco profile
User uploading and processing of traffic (trajectory) data
Statistical processing of the crowdsourced data
Incorporation of Earth Observation Satellite data info-layers (temperature, UV and Ozone layer, fires, atmospheric pollution and gasses, etc.)
V2V, peer-to-peer communication technology
Hop-by-hop data aggregation, if/where no communication backbone network is available, for near-real-time traffic monitoring and user updating
An embedded mechanism for delivering “dynamic surveys” (i.e., targeted, user-profile adapted, questionnaires) to get the taxi passenger’s (or driver’s) feedback
Interfacing with external driverassistant devices (DADs)
Strongly secure communications (end-to-end strong security in transmitting and storing sensitive data)
innovative and challenging project using latest IT technologies such as graph theory for routing, knowledge from data mining, genetic algorithms, adaptive prediction modeling, big data, agents and multi-agents systems, 3D-graphics, lexicographic analysis/searching, crypto, etc
Technical project management of the entire project on site
Pioneering in passenger transport services with advanced intelligent systems,
Huge marketing & profit opportunities,
ECO environmental benefits, etc.

2. Realization of Strategic goals and objectives such as:

Providing welcoming distinguished services to customers
Introducing smart services to customers
Listening to customers
Improving the brand
Increasing market
Improving working environment
Providing excellent services
Encouraging excellence, creativity and knowledge
Maximizing revenues
Optimizing Costs
Investing in new financial resources
Fostering Islamic Economy
Improving community role
Environmental sustainability
Supporting the green economy
Vital Partnerships
Improving vehicles operation system
Optimal utilization of technologies
Assets sustainability