Multi-class Fleet Sizing and Mobility on Demand Service View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2018-11-17

AUTHORS

Malika Meghjani , Scott Drew Pendleton , Katarzyna Anna Marczuk , You Hong Eng , Xiaotong Shen , Marcelo H. Ang , Daniela Rus

ABSTRACT

This paper addresses multi-class fleet sizing and vehicle assignment problem where we aim to provide Autonomous Mobility-on-Demand (AMoD) service using a fleet of heterogeneous vehicles. We present a chain of transportation with three classes of autonomous vehicles including cars, buggies and scooters. Each class of vehicle can access a subset of the network, such that, there are some links exclusive for that particular class. Our fleet management system then assigns available vehicles to trips based on the travel time for passenger pick-up and drop-off, their queue time and accessibility of the road network by the vehicle. Each assignment may consist of a set of vehicles allocated for one trip that is composed of multiple-legs served by different vehicles. For example, first mile pick-up by a scooter, middle mile on a car and last-mile trip on a buggy. We apply a genetic algorithm for heterogeneous fleet sizing and propose a hierarchical structure for travel time optimal assignment of the multi-class autonomous vehicles to passengers. We validated our approach with a range of heterogeneous fleet sizes constrained on the given budget. Our approach is more time efficient than taking a ride on a single-class autonomous vehicle for middle mile plus walking during the first and the last miles. Hence, we provide the convenience of autonomously covering the entire journey using multi-class vehicles with no additional travel or transit delays compared to single-class. More... »

PAGES

37-49

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-030-02886-2_4

DOI

http://dx.doi.org/10.1007/978-3-030-02886-2_4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1109974060


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/2008/0801", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Artificial Intelligence and Image Processing", 
        "type": "DefinedTerm"
      }, 
      {
        "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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Singapore-MIT Alliance for Research and Technology", 
          "id": "https://www.grid.ac/institutes/grid.429485.6", 
          "name": [
            "Singapore-MIT Alliance for Research and Technology, Singapore, Singapore"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Meghjani", 
        "givenName": "Malika", 
        "id": "sg:person.07425212001.42", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07425212001.42"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National University of Singapore", 
          "id": "https://www.grid.ac/institutes/grid.4280.e", 
          "name": [
            "National University of Singapore, Singapore, Singapore", 
            "Tonomy, Singapore, Singapore"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pendleton", 
        "givenName": "Scott Drew", 
        "id": "sg:person.07627142607.53", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07627142607.53"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National University of Singapore", 
          "id": "https://www.grid.ac/institutes/grid.4280.e", 
          "name": [
            "National University of Singapore, Singapore, Singapore", 
            "Tonomy, Singapore, Singapore"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Marczuk", 
        "givenName": "Katarzyna Anna", 
        "id": "sg:person.015062753353.35", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015062753353.35"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Singapore-MIT Alliance for Research and Technology", 
          "id": "https://www.grid.ac/institutes/grid.429485.6", 
          "name": [
            "Singapore-MIT Alliance for Research and Technology, Singapore, Singapore"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Eng", 
        "givenName": "You Hong", 
        "id": "sg:person.012754711725.20", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012754711725.20"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Singapore-MIT Alliance for Research and Technology", 
          "id": "https://www.grid.ac/institutes/grid.429485.6", 
          "name": [
            "Singapore-MIT Alliance for Research and Technology, Singapore, Singapore"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shen", 
        "givenName": "Xiaotong", 
        "id": "sg:person.016070017663.32", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016070017663.32"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National University of Singapore", 
          "id": "https://www.grid.ac/institutes/grid.4280.e", 
          "name": [
            "National University of Singapore, Singapore, Singapore"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ang", 
        "givenName": "Marcelo H.", 
        "id": "sg:person.012410144175.14", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012410144175.14"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Massachusetts Institute of Technology", 
          "id": "https://www.grid.ac/institutes/grid.116068.8", 
          "name": [
            "Massachusetts Institute of Technology, Cambridge, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rus", 
        "givenName": "Daniela", 
        "id": "sg:person.010346750634.58", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010346750634.58"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/s0191-2615(02)00045-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000110119"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0191-2615(02)00045-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000110119"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-40686-7_17", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002066605", 
          "https://doi.org/10.1007/978-3-642-40686-7_17"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1051/matecconf/20168101005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057037949"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1287/trsc.14.2.130", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064734575"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1287/trsc.17.3.351", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064734670"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3141/2564-03", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071051897"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3141/2564-03", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071051897"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/sii.2016.7843999", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1093549165"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/acc.2015.7171122", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1094703394"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tencon.2016.7847982", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1095032394"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-11-17", 
    "datePublishedReg": "2018-11-17", 
    "description": "This paper addresses multi-class fleet sizing and vehicle assignment problem where we aim to provide Autonomous Mobility-on-Demand (AMoD) service using a fleet of heterogeneous vehicles. We present a chain of transportation with three classes of autonomous vehicles including cars, buggies and scooters. Each class of vehicle can access a subset of the network, such that, there are some links exclusive for that particular class. Our fleet management system then assigns available vehicles to trips based on the travel time for passenger pick-up and drop-off, their queue time and accessibility of the road network by the vehicle. Each assignment may consist of a set of vehicles allocated for one trip that is composed of multiple-legs served by different vehicles. For example, first mile pick-up by a scooter, middle mile on a car and last-mile trip on a buggy. We apply a genetic algorithm for heterogeneous fleet sizing and propose a hierarchical structure for travel time optimal assignment of the multi-class autonomous vehicles to passengers. We validated our approach with a range of heterogeneous fleet sizes constrained on the given budget. Our approach is more time efficient than taking a ride on a single-class autonomous vehicle for middle mile plus walking during the first and the last miles. Hence, we provide the convenience of autonomously covering the entire journey using multi-class vehicles with no additional travel or transit delays compared to single-class.", 
    "editor": [
      {
        "familyName": "Cardin", 
        "givenName": "Michel Alexandre", 
        "type": "Person"
      }, 
      {
        "familyName": "Hastings", 
        "givenName": "Daniel", 
        "type": "Person"
      }, 
      {
        "familyName": "Jackson", 
        "givenName": "Peter", 
        "type": "Person"
      }, 
      {
        "familyName": "Krob", 
        "givenName": "Daniel", 
        "type": "Person"
      }, 
      {
        "familyName": "Lui", 
        "givenName": "Pao Chuen", 
        "type": "Person"
      }, 
      {
        "familyName": "Schmitt", 
        "givenName": "Gerhard", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-030-02886-2_4", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-3-030-02885-5", 
        "978-3-030-02886-2"
      ], 
      "name": "Complex Systems Design & Management Asia", 
      "type": "Book"
    }, 
    "name": "Multi-class Fleet Sizing and Mobility on Demand Service", 
    "pagination": "37-49", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-030-02886-2_4"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "5a8bd3bedf3ffce498f80d7c3a6b5e12a715b33965e4c2f5827eda56724a894e"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1109974060"
        ]
      }
    ], 
    "publisher": {
      "location": "Cham", 
      "name": "Springer International Publishing", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-030-02886-2_4", 
      "https://app.dimensions.ai/details/publication/pub.1109974060"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2019-04-16T04:39", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000321_0000000321/records_74915_00000000.jsonl", 
    "type": "Chapter", 
    "url": "https://link.springer.com/10.1007%2F978-3-030-02886-2_4"
  }
]
 

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.10.1007/978-3-030-02886-2_4'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-030-02886-2_4'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-030-02886-2_4'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-030-02886-2_4'


 

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

167 TRIPLES      23 PREDICATES      35 URIs      19 LITERALS      8 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-030-02886-2_4 schema:about anzsrc-for:08
2 anzsrc-for:0801
3 schema:author N1d1a48f1b48944eab3183e71a86faf2b
4 schema:citation sg:pub.10.1007/978-3-642-40686-7_17
5 https://doi.org/10.1016/s0191-2615(02)00045-0
6 https://doi.org/10.1051/matecconf/20168101005
7 https://doi.org/10.1109/acc.2015.7171122
8 https://doi.org/10.1109/sii.2016.7843999
9 https://doi.org/10.1109/tencon.2016.7847982
10 https://doi.org/10.1287/trsc.14.2.130
11 https://doi.org/10.1287/trsc.17.3.351
12 https://doi.org/10.3141/2564-03
13 schema:datePublished 2018-11-17
14 schema:datePublishedReg 2018-11-17
15 schema:description This paper addresses multi-class fleet sizing and vehicle assignment problem where we aim to provide Autonomous Mobility-on-Demand (AMoD) service using a fleet of heterogeneous vehicles. We present a chain of transportation with three classes of autonomous vehicles including cars, buggies and scooters. Each class of vehicle can access a subset of the network, such that, there are some links exclusive for that particular class. Our fleet management system then assigns available vehicles to trips based on the travel time for passenger pick-up and drop-off, their queue time and accessibility of the road network by the vehicle. Each assignment may consist of a set of vehicles allocated for one trip that is composed of multiple-legs served by different vehicles. For example, first mile pick-up by a scooter, middle mile on a car and last-mile trip on a buggy. We apply a genetic algorithm for heterogeneous fleet sizing and propose a hierarchical structure for travel time optimal assignment of the multi-class autonomous vehicles to passengers. We validated our approach with a range of heterogeneous fleet sizes constrained on the given budget. Our approach is more time efficient than taking a ride on a single-class autonomous vehicle for middle mile plus walking during the first and the last miles. Hence, we provide the convenience of autonomously covering the entire journey using multi-class vehicles with no additional travel or transit delays compared to single-class.
16 schema:editor N0cb3bcdb1d5d43c8bbb26c0542f561cf
17 schema:genre chapter
18 schema:inLanguage en
19 schema:isAccessibleForFree false
20 schema:isPartOf Nf643146a3ab74fe7b90eed4d7b31ca61
21 schema:name Multi-class Fleet Sizing and Mobility on Demand Service
22 schema:pagination 37-49
23 schema:productId N244d03a13f414f5b9efce326a0f20aa6
24 N6ebad9fbe8124f22868638410d7958e5
25 N70ca6743658a4ff099e98c5ded31c508
26 schema:publisher N23312a9f89324da29836abca5d939f4b
27 schema:sameAs https://app.dimensions.ai/details/publication/pub.1109974060
28 https://doi.org/10.1007/978-3-030-02886-2_4
29 schema:sdDatePublished 2019-04-16T04:39
30 schema:sdLicense https://scigraph.springernature.com/explorer/license/
31 schema:sdPublisher N48e10c8582534c4e84e322bf9a0154a0
32 schema:url https://link.springer.com/10.1007%2F978-3-030-02886-2_4
33 sgo:license sg:explorer/license/
34 sgo:sdDataset chapters
35 rdf:type schema:Chapter
36 N099029c92bf94b84a2aadad329e39c81 schema:familyName Lui
37 schema:givenName Pao Chuen
38 rdf:type schema:Person
39 N0cb3bcdb1d5d43c8bbb26c0542f561cf rdf:first N8dd307832aad496d9be9a6a7e9e1e0d1
40 rdf:rest N8d96f35f8e2b48b785a341d4c35d66f4
41 N163a31ff76d14d52b979b80d47a25979 rdf:first sg:person.010346750634.58
42 rdf:rest rdf:nil
43 N1d1a48f1b48944eab3183e71a86faf2b rdf:first sg:person.07425212001.42
44 rdf:rest Nda2932e7c1a1451182b31025413a050b
45 N23312a9f89324da29836abca5d939f4b schema:location Cham
46 schema:name Springer International Publishing
47 rdf:type schema:Organisation
48 N244d03a13f414f5b9efce326a0f20aa6 schema:name doi
49 schema:value 10.1007/978-3-030-02886-2_4
50 rdf:type schema:PropertyValue
51 N3afd9a94f69444b8a4b6ba0a1d6a0162 schema:familyName Schmitt
52 schema:givenName Gerhard
53 rdf:type schema:Person
54 N412f6633412048e58738e5b06bad4aed rdf:first sg:person.016070017663.32
55 rdf:rest Nb6f5b06bc15541d08f60eedc70b82d9d
56 N48e10c8582534c4e84e322bf9a0154a0 schema:name Springer Nature - SN SciGraph project
57 rdf:type schema:Organization
58 N49ce2ee5967f48eab64531cbd0f9ff84 rdf:first sg:person.012754711725.20
59 rdf:rest N412f6633412048e58738e5b06bad4aed
60 N5cb3b207b58447ad8abcbfaeba81436c schema:familyName Hastings
61 schema:givenName Daniel
62 rdf:type schema:Person
63 N5ef50c225abf4c6ab88adae6011308f4 rdf:first N6936cadd80d040dab5fc4745752849df
64 rdf:rest Nb399996d7fb34dfe99dd64d9ddc6d73e
65 N613c3ad4b3f7498a85676fbcc643413f rdf:first N3afd9a94f69444b8a4b6ba0a1d6a0162
66 rdf:rest rdf:nil
67 N6936cadd80d040dab5fc4745752849df schema:familyName Jackson
68 schema:givenName Peter
69 rdf:type schema:Person
70 N6ebad9fbe8124f22868638410d7958e5 schema:name readcube_id
71 schema:value 5a8bd3bedf3ffce498f80d7c3a6b5e12a715b33965e4c2f5827eda56724a894e
72 rdf:type schema:PropertyValue
73 N70ca6743658a4ff099e98c5ded31c508 schema:name dimensions_id
74 schema:value pub.1109974060
75 rdf:type schema:PropertyValue
76 N8d96f35f8e2b48b785a341d4c35d66f4 rdf:first N5cb3b207b58447ad8abcbfaeba81436c
77 rdf:rest N5ef50c225abf4c6ab88adae6011308f4
78 N8dd307832aad496d9be9a6a7e9e1e0d1 schema:familyName Cardin
79 schema:givenName Michel Alexandre
80 rdf:type schema:Person
81 N9e5a2a07188f4e2abf756ade31768352 rdf:first N099029c92bf94b84a2aadad329e39c81
82 rdf:rest N613c3ad4b3f7498a85676fbcc643413f
83 Nb399996d7fb34dfe99dd64d9ddc6d73e rdf:first Nc7864f5b7cbe4faab21313bd6c4e4aa1
84 rdf:rest N9e5a2a07188f4e2abf756ade31768352
85 Nb6f5b06bc15541d08f60eedc70b82d9d rdf:first sg:person.012410144175.14
86 rdf:rest N163a31ff76d14d52b979b80d47a25979
87 Nc7864f5b7cbe4faab21313bd6c4e4aa1 schema:familyName Krob
88 schema:givenName Daniel
89 rdf:type schema:Person
90 Ncf53d32be22843a98bb924d2f17dcd15 rdf:first sg:person.015062753353.35
91 rdf:rest N49ce2ee5967f48eab64531cbd0f9ff84
92 Nda2932e7c1a1451182b31025413a050b rdf:first sg:person.07627142607.53
93 rdf:rest Ncf53d32be22843a98bb924d2f17dcd15
94 Nf643146a3ab74fe7b90eed4d7b31ca61 schema:isbn 978-3-030-02885-5
95 978-3-030-02886-2
96 schema:name Complex Systems Design & Management Asia
97 rdf:type schema:Book
98 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
99 schema:name Information and Computing Sciences
100 rdf:type schema:DefinedTerm
101 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
102 schema:name Artificial Intelligence and Image Processing
103 rdf:type schema:DefinedTerm
104 sg:person.010346750634.58 schema:affiliation https://www.grid.ac/institutes/grid.116068.8
105 schema:familyName Rus
106 schema:givenName Daniela
107 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010346750634.58
108 rdf:type schema:Person
109 sg:person.012410144175.14 schema:affiliation https://www.grid.ac/institutes/grid.4280.e
110 schema:familyName Ang
111 schema:givenName Marcelo H.
112 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012410144175.14
113 rdf:type schema:Person
114 sg:person.012754711725.20 schema:affiliation https://www.grid.ac/institutes/grid.429485.6
115 schema:familyName Eng
116 schema:givenName You Hong
117 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012754711725.20
118 rdf:type schema:Person
119 sg:person.015062753353.35 schema:affiliation https://www.grid.ac/institutes/grid.4280.e
120 schema:familyName Marczuk
121 schema:givenName Katarzyna Anna
122 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015062753353.35
123 rdf:type schema:Person
124 sg:person.016070017663.32 schema:affiliation https://www.grid.ac/institutes/grid.429485.6
125 schema:familyName Shen
126 schema:givenName Xiaotong
127 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016070017663.32
128 rdf:type schema:Person
129 sg:person.07425212001.42 schema:affiliation https://www.grid.ac/institutes/grid.429485.6
130 schema:familyName Meghjani
131 schema:givenName Malika
132 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07425212001.42
133 rdf:type schema:Person
134 sg:person.07627142607.53 schema:affiliation https://www.grid.ac/institutes/grid.4280.e
135 schema:familyName Pendleton
136 schema:givenName Scott Drew
137 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07627142607.53
138 rdf:type schema:Person
139 sg:pub.10.1007/978-3-642-40686-7_17 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002066605
140 https://doi.org/10.1007/978-3-642-40686-7_17
141 rdf:type schema:CreativeWork
142 https://doi.org/10.1016/s0191-2615(02)00045-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000110119
143 rdf:type schema:CreativeWork
144 https://doi.org/10.1051/matecconf/20168101005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057037949
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1109/acc.2015.7171122 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094703394
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1109/sii.2016.7843999 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093549165
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1109/tencon.2016.7847982 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095032394
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1287/trsc.14.2.130 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064734575
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1287/trsc.17.3.351 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064734670
155 rdf:type schema:CreativeWork
156 https://doi.org/10.3141/2564-03 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071051897
157 rdf:type schema:CreativeWork
158 https://www.grid.ac/institutes/grid.116068.8 schema:alternateName Massachusetts Institute of Technology
159 schema:name Massachusetts Institute of Technology, Cambridge, USA
160 rdf:type schema:Organization
161 https://www.grid.ac/institutes/grid.4280.e schema:alternateName National University of Singapore
162 schema:name National University of Singapore, Singapore, Singapore
163 Tonomy, Singapore, Singapore
164 rdf:type schema:Organization
165 https://www.grid.ac/institutes/grid.429485.6 schema:alternateName Singapore-MIT Alliance for Research and Technology
166 schema:name Singapore-MIT Alliance for Research and Technology, Singapore, Singapore
167 rdf:type schema:Organization
 




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


...