{"id":"https://openalex.org/W4386117784","doi":"https://doi.org/10.1145/3609956.3609963","title":"Highway Systems: How Good are They, Really?","display_name":"Highway Systems: How Good are They, Really?","publication_year":2023,"publication_date":"2023-08-23","ids":{"openalex":"https://openalex.org/W4386117784","doi":"https://doi.org/10.1145/3609956.3609963"},"language":"en","primary_location":{"id":"doi:10.1145/3609956.3609963","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3609956.3609963","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3609956.3609963","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th International Symposium on Spatial and Temporal Data","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3609956.3609963","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000400301","display_name":"Theodoros Chondrogiannis","orcid":"https://orcid.org/0000-0002-9623-9133"},"institutions":[{"id":"https://openalex.org/I189712700","display_name":"University of Konstanz","ror":"https://ror.org/0546hnb39","country_code":"DE","type":"education","lineage":["https://openalex.org/I189712700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Theodoros Chondrogiannis","raw_affiliation_strings":["Department of Computer and Information Science, University of Konstanz, Germany"],"raw_orcid":"https://orcid.org/0000-0002-9623-9133","affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, University of Konstanz, Germany","institution_ids":["https://openalex.org/I189712700"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000695235","display_name":"Michael Grossniklaus","orcid":"https://orcid.org/0000-0003-1609-2221"},"institutions":[{"id":"https://openalex.org/I189712700","display_name":"University of Konstanz","ror":"https://ror.org/0546hnb39","country_code":"DE","type":"education","lineage":["https://openalex.org/I189712700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Michael Grossniklaus","raw_affiliation_strings":["Department of Computer and Information Science, University of Konstanz, Germany"],"raw_orcid":"https://orcid.org/0000-0003-1609-2221","affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, University of Konstanz, Germany","institution_ids":["https://openalex.org/I189712700"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I189712700"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.7529580593109131},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.690865695476532},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5372981429100037},{"id":"https://openalex.org/keywords/highway-system","display_name":"Highway system","score":0.47862547636032104},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.4340360462665558},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.4128755033016205},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.32101088762283325},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19154128432273865},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12367886304855347}],"concepts":[{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.7529580593109131},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.690865695476532},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5372981429100037},{"id":"https://openalex.org/C2992914290","wikidata":"https://www.wikidata.org/wiki/Q5759966","display_name":"Highway system","level":2,"score":0.47862547636032104},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.4340360462665558},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.4128755033016205},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.32101088762283325},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19154128432273865},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12367886304855347},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3609956.3609963","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3609956.3609963","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3609956.3609963","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th International Symposium on Spatial and Temporal Data","raw_type":"proceedings-article"},{"id":"pmh:oai:kops.uni-konstanz.de:123456789/67763","is_oa":true,"landing_page_url":"http://nbn-resolving.de/urn:nbn:de:bsz:352-2-fv1c7xr732q02","pdf_url":"https://kops.uni-konstanz.de/server/api/core/bitstreams/9ae82d24-5de8-438b-830e-7207028765c2/content","source":{"id":"https://openalex.org/S4306401487","display_name":"KOPS (University of Konstanz)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I189712700","host_organization_name":"University of Konstanz","host_organization_lineage":["https://openalex.org/I189712700"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of SSTD '23: 18th International Symposium on Spatial and Temporal Data. New York, NY: ACM, 2023, S. 1-10. ISBN 979-8-4007-0899-2. Verf\u00fcgbar unter: doi: 10.1145/3609956.3609963","raw_type":"doc-type:conferenceObject"}],"best_oa_location":{"id":"doi:10.1145/3609956.3609963","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3609956.3609963","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3609956.3609963","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th International Symposium on Spatial and Temporal Data","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.7200000286102295}],"awards":[{"id":"https://openalex.org/G2714815206","display_name":null,"funder_award_id":"CH 2464/1-1","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G3770364687","display_name":null,"funder_award_id":"CH 2464/1","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G8630688669","display_name":null,"funder_award_id":"2464/1-1","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"}],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386117784.pdf"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W1493214567","https://openalex.org/W1978613270","https://openalex.org/W1990257465","https://openalex.org/W2019003829","https://openalex.org/W2023279748","https://openalex.org/W2031780366","https://openalex.org/W2035928743","https://openalex.org/W2086709935","https://openalex.org/W2094095441","https://openalex.org/W2094827579","https://openalex.org/W2096819890","https://openalex.org/W2097268493","https://openalex.org/W2099970772","https://openalex.org/W2102842495","https://openalex.org/W2107252651","https://openalex.org/W2107950496","https://openalex.org/W2114753568","https://openalex.org/W2120783268","https://openalex.org/W2132834934","https://openalex.org/W2141596757","https://openalex.org/W2159238386","https://openalex.org/W2169528473","https://openalex.org/W2171297181","https://openalex.org/W2171707538","https://openalex.org/W2176653498","https://openalex.org/W2461311369","https://openalex.org/W2487614805","https://openalex.org/W2791473713","https://openalex.org/W2801910255","https://openalex.org/W2914580283","https://openalex.org/W3041464221","https://openalex.org/W4316661019","https://openalex.org/W4321080687"],"related_works":["https://openalex.org/W649249706","https://openalex.org/W1547686980","https://openalex.org/W4252676522","https://openalex.org/W572631537","https://openalex.org/W604912461","https://openalex.org/W601141450","https://openalex.org/W583217311","https://openalex.org/W2889121934","https://openalex.org/W276700960","https://openalex.org/W1496488615"],"abstract_inverted_index":{"Highways":[0],"play":[1],"a":[2,112,120,157],"crucial":[3],"role":[4],"in":[5,23,67,70,138,155],"transportation":[6],"services":[7],"as":[8],"they":[9],"facilitate":[10],"long-distance":[11],"traveling":[12],"and":[13,27],"allow":[14],"driving":[15],"at":[16,118],"an":[17,161],"almost":[18],"constant":[19],"speed,":[20],"thus":[21],"resulting":[22],"lower":[24],"fuel":[25],"consumption":[26],"emissions.":[28],"Many":[29],"existing":[30,44,68],"highway":[31,61,86,100,121,144,163],"systems":[32],"were":[33],"designed":[34],"before":[35],"practical":[36],"computational":[37],"tools":[38],"had":[39],"been":[40],"developed.":[41],"Furthermore,":[42],"most":[43],"approaches":[45],"to":[46,105],"evaluating":[47,78],"highways":[48],"focus":[49],"on":[50],"analyzing":[51],"mobility":[52],"data":[53],"rather":[54],"than":[55],"studying":[56],"the":[57,60,75,79,82,97,133,140,149],"design":[58,83,159],"of":[59,77,81,84,99,135,142,151,160],"system.":[62,164],"To":[63,88],"address":[64],"this":[65,71,89],"gap":[66],"research,":[69],"paper,":[72],"we":[73,91,110,131],"study":[74],"problem":[76],"efficacy":[80,98,141],"real-world":[85,143],"systems.":[87,145],"end,":[90],"propose":[92],"two":[93],"novel":[94],"measures":[95],"for":[96],"systems,":[101],"along":[102],"with":[103],"algorithms":[104],"compute":[106],"them.":[107],"In":[108,128],"addition,":[109],"present":[111],"first-cut":[113],"heuristic":[114,153],"algorithm":[115,154],"that":[116,123],"aims":[117],"computing":[119,156],"system":[122],"optimizes":[124],"our":[125,129,136,152],"proposed":[126],"measures.":[127],"experiments,":[130],"demonstrate":[132],"potential":[134],"methods":[137],"measuring":[139],"We":[146],"also":[147],"evaluate":[148],"performance":[150],"rough":[158],"efficient":[162]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
