Fleet Telematics: Real-time management and planning of commercial vehicle operations

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Springer Science & Business Media, Oct 23, 2007 - Business & Economics - 184 pages
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In the past 30 years, commercial transport traffic has more than doubled in both Europe and North America. Asian commercial transport traffic over this period of time has likely increased even more. Traffic jams are routine and they can happen in any segment of the highway system at any time. Moreover, manufacturing companies increasingly apply just-in-time practices in order to cut down inventory costs. As any mismatch between supply and demand can result into significant disturbances of manufacturing processes, just-in-time practices necessitate punctual, reliable, and flexible transportation. Emerging technologies in real-time communications systems provide the means for commercial vehicle operators to meet the increasingly complex customer expectations in a highly dynamic environment with unreliable traffic conditions.

FLEET TELEMATICS: Real-Time Management and Planning of Commercial Vehicle Operations combines wireless telematics systems with dynamic vehicle routing algorithms and vehicle-positioning systems to produce a telematics-enabled information system that can be employed by commercial fleet operators for real-time monitoring, control, and planning. The book presents a Messaging & Fleet Monitoring System that automatically identifies deviations between the planned and the current state of the transportation system and a Dynamic Planning System (DPS) that provides real-time decision support considering the current state of the transportation system. The DPS uses newly developed dynamic vehicle routing algorithms to find high-quality solutions and adjust schedules and routes immediately.

 

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Contents

Introduction
1
12 Purpose of this work
2
13 Overview
4
Telematics
7
22 Enabling technologies
8
2212 Cellular communication
9
2213 Satellite communication
10
2214 Dedicated Short Range Communication
12
442 The Messaging Fleet Monitoring System
73
4421 Communication
75
443 Realtime decision support
82
444 Supply chain integration
86
45 Implementation and case study
87
Models for routing a fleet of commercial vehicles
95
52 The Vehicle Routing Problem
97
521 Time window restrictions
99

222 Positioning systems
13
2223 Cellular communication based positioning
17
2224 Signpost systems
19
2232 Data representation
20
2234 Applications
22
23 Transport telematics
24
231 Traffic and travel information
26
232 Vehiclerelated safety
28
234 Emergency management
30
Commercial vehicle operations
31
322 Deregulation
34
323 Supply chain management and justintime practices
35
33 Fundamentals of road freight transportation
36
3312 Geographical properties
37
3313 Logical properties
39
3315 Revenue
40
3321 Physical properties
41
3323 Logical properties
43
3324 Handling equipment
45
333 Transportation services
46
3334 Local distribution or collection
47
343 Operational level
48
35 Operational and realtime tasks
49
351 Fleet management
50
352 Order management
52
3522 Order management in realtime dispatching
54
36 Case study
55
Management information systems
59
42 A typical legacy information system
60
422 The Order Fleet Management System
61
423 Communication
62
424 Supply chain integration
63
43 Potentials of telematics
64
431 Information exchange
66
432 Route guidance
68
433 Tracking tracing
69
434 Dispatching
70
436 Invoicing
71
441 System architecture
72
522 Heterogeneous vehicle fleet
101
53 The Pickup and Delivery Problem
103
54 The General Vehicle Routing Problem
105
543 Arbitrary number of pickup delivery and service locations
106
545 Mathematical formulation
107
55 Drivers working hours
110
56 Case study
115
Dynamic vehicle routing
119
62 Dynamic vs static planning
120
622 Rolling horizon
121
624 Interactivity
122
625 Response time
123
626 Measuring performance
124
631 Assignment methods
125
633 Improvement methods
126
635 Mathematical programming based methods
128
641 INSERT
129
642 REMOVE
133
643 REARRANGE
135
644 SHIFT
136
646 REPLACE
137
647 SHIFTREPLACE
138
651 Sequential insertion
139
652 Parallel insertion
140
653 Basic tour improvement
142
66 Reduced Variable Neighbourhood Search
143
67 Large Neighbourhood Search
145
671 Removals
147
672 Reinsertion
150
68 Evaluation and case study
151
Conclusions
158
72 Scientific contributions
160
73 Future research
161
References
163
Abbreviations
173
Symbols
176
Index
180
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Page 172 - D. Bernstein, and AL Kornhauser, "Some Map Matching Algorithms for Personal Navigation Assistants," Transportation Research Part C: Emerging Technologies, Vol.