Cooperative Driving: Taking Telematics to the Next Level View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2003

AUTHORS

R. G. Herrtwich , G. Nöcker

ABSTRACT

While existing telematics services largely focus on improving mobility and comfort, an upcoming generation of car-centric services will target vehicle and driver safety. Future vehicles will serve as sensors and actuators — and they will be connected by communication links. In new services, information communicated from outside the vehicle or obtained from an adaptive map database will be used as an additional sensor for driver assistance — and potentially at one point for vehicle control. Utilizing higher positioning accuracy and reduced communication latency, telematics will enable new safety applications ranging from alerting the driver about an imminent danger to active interference into the vehicle controls. Examples of such services are hazard warning or collision avoidance. Most of those applications require a sense of the environment of the vehicle as well as information about the traffic ahead including cross-traffic. Telematics extends on-board sensors, permits to communicate intentions, and facilitates road courtesy. It opens the path to an application domain which we call cooperative driving. Traffic adaptive behavior and harmonious driving can solve the conflict of safety and efficiency in dense traffic. Cooperative driving is the ultimate behavior in traffic. It means to gather information and share it with other drivers, to adapt to the surrounding traffic and environment conditions, to interact with other traffic participants in a solution-oriented way, and to obey traffic rules and regulations. The most prominent goals of cooperative driving are to increase traffic safety and traffic flow. More... »

PAGES

271-280

Book

TITLE

Traffic and Granular Flow’01

ISBN

978-3-642-07304-5
978-3-662-10583-2

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-662-10583-2_26

DOI

http://dx.doi.org/10.1007/978-3-662-10583-2_26

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1014261375


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information and Computing Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0806", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information Systems", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "HPC E224, 70546, Stuttgart, Germany", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Telematics Research, DaimlerChrysler AG, Alt-Moabit 96a, 10559, Berlin, Germany", 
            "HPC E224, 70546, Stuttgart, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Herrtwich", 
        "givenName": "R. G.", 
        "id": "sg:person.016051451607.98", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016051451607.98"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "HPC E224, 70546, Stuttgart, Germany", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Telematics Research, DaimlerChrysler AG, Alt-Moabit 96a, 10559, Berlin, Germany", 
            "HPC E224, 70546, Stuttgart, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "N\u00f6cker", 
        "givenName": "G.", 
        "type": "Person"
      }
    ], 
    "datePublished": "2003", 
    "datePublishedReg": "2003-01-01", 
    "description": "While existing telematics services largely focus on improving mobility and comfort, an upcoming generation of car-centric services will target vehicle and driver safety. Future vehicles will serve as sensors and actuators \u2014 and they will be connected by communication links. In new services, information communicated from outside the vehicle or obtained from an adaptive map database will be used as an additional sensor for driver assistance \u2014 and potentially at one point for vehicle control. Utilizing higher positioning accuracy and reduced communication latency, telematics will enable new safety applications ranging from alerting the driver about an imminent danger to active interference into the vehicle controls. Examples of such services are hazard warning or collision avoidance. Most of those applications require a sense of the environment of the vehicle as well as information about the traffic ahead including cross-traffic. Telematics extends on-board sensors, permits to communicate intentions, and facilitates road courtesy. It opens the path to an application domain which we call cooperative driving. Traffic adaptive behavior and harmonious driving can solve the conflict of safety and efficiency in dense traffic. Cooperative driving is the ultimate behavior in traffic. It means to gather information and share it with other drivers, to adapt to the surrounding traffic and environment conditions, to interact with other traffic participants in a solution-oriented way, and to obey traffic rules and regulations. The most prominent goals of cooperative driving are to increase traffic safety and traffic flow.", 
    "editor": [
      {
        "familyName": "Fukui", 
        "givenName": "Minoru", 
        "type": "Person"
      }, 
      {
        "familyName": "Sugiyama", 
        "givenName": "Yuki", 
        "type": "Person"
      }, 
      {
        "familyName": "Schreckenberg", 
        "givenName": "Michael", 
        "type": "Person"
      }, 
      {
        "familyName": "Wolf", 
        "givenName": "Dietrich E.", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-662-10583-2_26", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-3-642-07304-5", 
        "978-3-662-10583-2"
      ], 
      "name": "Traffic and Granular Flow\u201901", 
      "type": "Book"
    }, 
    "keywords": [
      "cooperative driving", 
      "high positioning accuracy", 
      "positioning accuracy", 
      "ultimate behavior", 
      "additional sensors", 
      "future vehicles", 
      "board sensors", 
      "driver assistance", 
      "safety applications", 
      "sensors", 
      "traffic flow", 
      "vehicles", 
      "traffic participants", 
      "collision avoidance", 
      "traffic safety", 
      "driver safety", 
      "dense traffic", 
      "communication links", 
      "environment conditions", 
      "hazard warnings", 
      "driving", 
      "actuators", 
      "telematics", 
      "traffic rules", 
      "applications", 
      "vehicle control", 
      "upcoming generation", 
      "active interference", 
      "communication latency", 
      "behavior", 
      "flow", 
      "map database", 
      "telematics services", 
      "traffic", 
      "efficiency", 
      "next level", 
      "comfort", 
      "accuracy", 
      "safety", 
      "generation", 
      "control", 
      "conditions", 
      "path", 
      "drivers", 
      "application domains", 
      "mobility", 
      "interference", 
      "warning", 
      "permits", 
      "example", 
      "environment", 
      "point", 
      "imminent danger", 
      "information", 
      "way", 
      "domain", 
      "rules", 
      "new services", 
      "assistance", 
      "avoidance", 
      "link", 
      "goal", 
      "prominent goal", 
      "danger", 
      "levels", 
      "services", 
      "such services", 
      "latency", 
      "sense", 
      "adaptive behavior", 
      "database", 
      "regulation", 
      "courtesy", 
      "intention", 
      "conflict", 
      "participants"
    ], 
    "name": "Cooperative Driving: Taking Telematics to the Next Level", 
    "pagination": "271-280", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1014261375"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-662-10583-2_26"
        ]
      }
    ], 
    "publisher": {
      "name": "Springer Nature", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-662-10583-2_26", 
      "https://app.dimensions.ai/details/publication/pub.1014261375"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2022-05-20T07:46", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220519/entities/gbq_results/chapter/chapter_315.jsonl", 
    "type": "Chapter", 
    "url": "https://doi.org/10.1007/978-3-662-10583-2_26"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/978-3-662-10583-2_26'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-662-10583-2_26'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-662-10583-2_26'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-662-10583-2_26'


 

This table displays all metadata directly associated to this object as RDF triples.

158 TRIPLES      23 PREDICATES      102 URIs      95 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-662-10583-2_26 schema:about anzsrc-for:08
2 anzsrc-for:0806
3 schema:author N579117a0d8e94d1b963c796d6f3a15de
4 schema:datePublished 2003
5 schema:datePublishedReg 2003-01-01
6 schema:description While existing telematics services largely focus on improving mobility and comfort, an upcoming generation of car-centric services will target vehicle and driver safety. Future vehicles will serve as sensors and actuators — and they will be connected by communication links. In new services, information communicated from outside the vehicle or obtained from an adaptive map database will be used as an additional sensor for driver assistance — and potentially at one point for vehicle control. Utilizing higher positioning accuracy and reduced communication latency, telematics will enable new safety applications ranging from alerting the driver about an imminent danger to active interference into the vehicle controls. Examples of such services are hazard warning or collision avoidance. Most of those applications require a sense of the environment of the vehicle as well as information about the traffic ahead including cross-traffic. Telematics extends on-board sensors, permits to communicate intentions, and facilitates road courtesy. It opens the path to an application domain which we call cooperative driving. Traffic adaptive behavior and harmonious driving can solve the conflict of safety and efficiency in dense traffic. Cooperative driving is the ultimate behavior in traffic. It means to gather information and share it with other drivers, to adapt to the surrounding traffic and environment conditions, to interact with other traffic participants in a solution-oriented way, and to obey traffic rules and regulations. The most prominent goals of cooperative driving are to increase traffic safety and traffic flow.
7 schema:editor N883ea4f2a40f4deea467ac19a6a675dc
8 schema:genre chapter
9 schema:inLanguage en
10 schema:isAccessibleForFree false
11 schema:isPartOf Nb0c2e86e277845c1bde5f1cd5f1e9391
12 schema:keywords accuracy
13 active interference
14 actuators
15 adaptive behavior
16 additional sensors
17 application domains
18 applications
19 assistance
20 avoidance
21 behavior
22 board sensors
23 collision avoidance
24 comfort
25 communication latency
26 communication links
27 conditions
28 conflict
29 control
30 cooperative driving
31 courtesy
32 danger
33 database
34 dense traffic
35 domain
36 driver assistance
37 driver safety
38 drivers
39 driving
40 efficiency
41 environment
42 environment conditions
43 example
44 flow
45 future vehicles
46 generation
47 goal
48 hazard warnings
49 high positioning accuracy
50 imminent danger
51 information
52 intention
53 interference
54 latency
55 levels
56 link
57 map database
58 mobility
59 new services
60 next level
61 participants
62 path
63 permits
64 point
65 positioning accuracy
66 prominent goal
67 regulation
68 rules
69 safety
70 safety applications
71 sense
72 sensors
73 services
74 such services
75 telematics
76 telematics services
77 traffic
78 traffic flow
79 traffic participants
80 traffic rules
81 traffic safety
82 ultimate behavior
83 upcoming generation
84 vehicle control
85 vehicles
86 warning
87 way
88 schema:name Cooperative Driving: Taking Telematics to the Next Level
89 schema:pagination 271-280
90 schema:productId N15ae90b96c8a422c9d9e2e35d95f0498
91 Ne20de162179c4cab92ae8178fe75f0db
92 schema:publisher N2c7970fd1f5843fa83637a641e71f898
93 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014261375
94 https://doi.org/10.1007/978-3-662-10583-2_26
95 schema:sdDatePublished 2022-05-20T07:46
96 schema:sdLicense https://scigraph.springernature.com/explorer/license/
97 schema:sdPublisher N47cf221a7e054647bc01d8d3af187d36
98 schema:url https://doi.org/10.1007/978-3-662-10583-2_26
99 sgo:license sg:explorer/license/
100 sgo:sdDataset chapters
101 rdf:type schema:Chapter
102 N15ae90b96c8a422c9d9e2e35d95f0498 schema:name dimensions_id
103 schema:value pub.1014261375
104 rdf:type schema:PropertyValue
105 N2131252b0faa48c59fee3a56b6e365a8 rdf:first N230bb77a274a47ab96ff2ec0849559c1
106 rdf:rest rdf:nil
107 N230bb77a274a47ab96ff2ec0849559c1 schema:familyName Wolf
108 schema:givenName Dietrich E.
109 rdf:type schema:Person
110 N27cc6348d6cb483eb58eddb68ff212da rdf:first N6fe2ab7922824ccda2e95c8c802c3346
111 rdf:rest N2131252b0faa48c59fee3a56b6e365a8
112 N2c7970fd1f5843fa83637a641e71f898 schema:name Springer Nature
113 rdf:type schema:Organisation
114 N3f5d750409c74cdb915be56988e98dee rdf:first N8290bfbece89451e8b035196a0af0101
115 rdf:rest N27cc6348d6cb483eb58eddb68ff212da
116 N40f4d30bd90c420bb94823d24685391d schema:affiliation grid-institutes:None
117 schema:familyName Nöcker
118 schema:givenName G.
119 rdf:type schema:Person
120 N44fa713fac27446a9716fec265524d3f rdf:first N40f4d30bd90c420bb94823d24685391d
121 rdf:rest rdf:nil
122 N47cf221a7e054647bc01d8d3af187d36 schema:name Springer Nature - SN SciGraph project
123 rdf:type schema:Organization
124 N579117a0d8e94d1b963c796d6f3a15de rdf:first sg:person.016051451607.98
125 rdf:rest N44fa713fac27446a9716fec265524d3f
126 N6fe2ab7922824ccda2e95c8c802c3346 schema:familyName Schreckenberg
127 schema:givenName Michael
128 rdf:type schema:Person
129 N8290bfbece89451e8b035196a0af0101 schema:familyName Sugiyama
130 schema:givenName Yuki
131 rdf:type schema:Person
132 N883ea4f2a40f4deea467ac19a6a675dc rdf:first Nf274f440446f48bfbac83a1aa71b4f76
133 rdf:rest N3f5d750409c74cdb915be56988e98dee
134 Nb0c2e86e277845c1bde5f1cd5f1e9391 schema:isbn 978-3-642-07304-5
135 978-3-662-10583-2
136 schema:name Traffic and Granular Flow’01
137 rdf:type schema:Book
138 Ne20de162179c4cab92ae8178fe75f0db schema:name doi
139 schema:value 10.1007/978-3-662-10583-2_26
140 rdf:type schema:PropertyValue
141 Nf274f440446f48bfbac83a1aa71b4f76 schema:familyName Fukui
142 schema:givenName Minoru
143 rdf:type schema:Person
144 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
145 schema:name Information and Computing Sciences
146 rdf:type schema:DefinedTerm
147 anzsrc-for:0806 schema:inDefinedTermSet anzsrc-for:
148 schema:name Information Systems
149 rdf:type schema:DefinedTerm
150 sg:person.016051451607.98 schema:affiliation grid-institutes:None
151 schema:familyName Herrtwich
152 schema:givenName R. G.
153 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016051451607.98
154 rdf:type schema:Person
155 grid-institutes:None schema:alternateName HPC E224, 70546, Stuttgart, Germany
156 schema:name HPC E224, 70546, Stuttgart, Germany
157 Telematics Research, DaimlerChrysler AG, Alt-Moabit 96a, 10559, Berlin, Germany
158 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...