Statistical approach based dynamic route selection support system. Rahman, S., Zaman, S., & Kaiser, M. In 19th International Conference on Computer and Information Technology, ICCIT 2016, 2017. abstract bibtex © 2016 IEEE. A proper route selection process enables human beings to reach faster at their destination. This work introduces a dynamic route selection support system to find the best suitable path for a source-destination pair. It considers three individual road traffic delays which are considered as signalized delay, cross section delay and path delay. All of them are used to calculate total delay time which is followed by an algorithm that reflects the proposed system model. The term, path delay and cross section delay use general delay calculation methods whereas, based on the traffic environment, signalized delay requires special delay calculation method. For signalized delay calculation, heterogeneous traffic environment considers an empirical term which is integrated with classical delay model. As the capital of Bangladesh, Dhaka city upholds all characteristics of heterogeneous traffic environment, this work finds it more suitable in using modified webstar delay model.To verify signalized delay calculation, the term variance, derived from taylor series has been used. Performance analysis shows that the adjustment term that is considered for signalized delay calculation is suitable for Dhaka city. Thus, using statistical approach, the proposed model identifies best suitable path among all available paths between source-destination points.
@inproceedings{
title = {Statistical approach based dynamic route selection support system},
type = {inproceedings},
year = {2017},
identifiers = {[object Object]},
keywords = {Delay time calculation,Modified webster formula,Signalized delay,Taylor series,Variance},
id = {dc0105f4-de51-340d-b1bf-44ad76d0c8d5},
created = {2018-08-01T22:39:57.575Z},
file_attached = {false},
profile_id = {86d0a3fe-915f-3d60-83e8-6b5e820c3322},
last_modified = {2018-08-01T22:39:57.575Z},
read = {false},
starred = {false},
authored = {true},
confirmed = {false},
hidden = {false},
private_publication = {true},
abstract = {© 2016 IEEE. A proper route selection process enables human beings to reach faster at their destination. This work introduces a dynamic route selection support system to find the best suitable path for a source-destination pair. It considers three individual road traffic delays which are considered as signalized delay, cross section delay and path delay. All of them are used to calculate total delay time which is followed by an algorithm that reflects the proposed system model. The term, path delay and cross section delay use general delay calculation methods whereas, based on the traffic environment, signalized delay requires special delay calculation method. For signalized delay calculation, heterogeneous traffic environment considers an empirical term which is integrated with classical delay model. As the capital of Bangladesh, Dhaka city upholds all characteristics of heterogeneous traffic environment, this work finds it more suitable in using modified webstar delay model.To verify signalized delay calculation, the term variance, derived from taylor series has been used. Performance analysis shows that the adjustment term that is considered for signalized delay calculation is suitable for Dhaka city. Thus, using statistical approach, the proposed model identifies best suitable path among all available paths between source-destination points.},
bibtype = {inproceedings},
author = {Rahman, S. and Zaman, S. and Kaiser, M.S.},
booktitle = {19th International Conference on Computer and Information Technology, ICCIT 2016}
}
Downloads: 0
{"_id":"aM94pzxFKWB4PGBki","bibbaseid":"rahman-zaman-kaiser-statisticalapproachbaseddynamicrouteselectionsupportsystem-2017","authorIDs":[],"author_short":["Rahman, S.","Zaman, S.","Kaiser, M."],"bibdata":{"title":"Statistical approach based dynamic route selection support system","type":"inproceedings","year":"2017","identifiers":"[object Object]","keywords":"Delay time calculation,Modified webster formula,Signalized delay,Taylor series,Variance","id":"dc0105f4-de51-340d-b1bf-44ad76d0c8d5","created":"2018-08-01T22:39:57.575Z","file_attached":false,"profile_id":"86d0a3fe-915f-3d60-83e8-6b5e820c3322","last_modified":"2018-08-01T22:39:57.575Z","read":false,"starred":false,"authored":"true","confirmed":false,"hidden":false,"private_publication":"true","abstract":"© 2016 IEEE. A proper route selection process enables human beings to reach faster at their destination. This work introduces a dynamic route selection support system to find the best suitable path for a source-destination pair. It considers three individual road traffic delays which are considered as signalized delay, cross section delay and path delay. All of them are used to calculate total delay time which is followed by an algorithm that reflects the proposed system model. The term, path delay and cross section delay use general delay calculation methods whereas, based on the traffic environment, signalized delay requires special delay calculation method. For signalized delay calculation, heterogeneous traffic environment considers an empirical term which is integrated with classical delay model. As the capital of Bangladesh, Dhaka city upholds all characteristics of heterogeneous traffic environment, this work finds it more suitable in using modified webstar delay model.To verify signalized delay calculation, the term variance, derived from taylor series has been used. Performance analysis shows that the adjustment term that is considered for signalized delay calculation is suitable for Dhaka city. Thus, using statistical approach, the proposed model identifies best suitable path among all available paths between source-destination points.","bibtype":"inproceedings","author":"Rahman, S. and Zaman, S. and Kaiser, M.S.","booktitle":"19th International Conference on Computer and Information Technology, ICCIT 2016","bibtex":"@inproceedings{\n title = {Statistical approach based dynamic route selection support system},\n type = {inproceedings},\n year = {2017},\n identifiers = {[object Object]},\n keywords = {Delay time calculation,Modified webster formula,Signalized delay,Taylor series,Variance},\n id = {dc0105f4-de51-340d-b1bf-44ad76d0c8d5},\n created = {2018-08-01T22:39:57.575Z},\n file_attached = {false},\n profile_id = {86d0a3fe-915f-3d60-83e8-6b5e820c3322},\n last_modified = {2018-08-01T22:39:57.575Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {false},\n hidden = {false},\n private_publication = {true},\n abstract = {© 2016 IEEE. A proper route selection process enables human beings to reach faster at their destination. This work introduces a dynamic route selection support system to find the best suitable path for a source-destination pair. It considers three individual road traffic delays which are considered as signalized delay, cross section delay and path delay. All of them are used to calculate total delay time which is followed by an algorithm that reflects the proposed system model. The term, path delay and cross section delay use general delay calculation methods whereas, based on the traffic environment, signalized delay requires special delay calculation method. For signalized delay calculation, heterogeneous traffic environment considers an empirical term which is integrated with classical delay model. As the capital of Bangladesh, Dhaka city upholds all characteristics of heterogeneous traffic environment, this work finds it more suitable in using modified webstar delay model.To verify signalized delay calculation, the term variance, derived from taylor series has been used. Performance analysis shows that the adjustment term that is considered for signalized delay calculation is suitable for Dhaka city. Thus, using statistical approach, the proposed model identifies best suitable path among all available paths between source-destination points.},\n bibtype = {inproceedings},\n author = {Rahman, S. and Zaman, S. and Kaiser, M.S.},\n booktitle = {19th International Conference on Computer and Information Technology, ICCIT 2016}\n}","author_short":["Rahman, S.","Zaman, S.","Kaiser, M."],"bibbaseid":"rahman-zaman-kaiser-statisticalapproachbaseddynamicrouteselectionsupportsystem-2017","role":"author","urls":{},"keyword":["Delay time calculation","Modified webster formula","Signalized delay","Taylor series","Variance"],"downloads":0},"bibtype":"inproceedings","creationDate":"2021-02-19T18:00:08.630Z","downloads":0,"keywords":["delay time calculation","modified webster formula","signalized delay","taylor series","variance"],"search_terms":["statistical","approach","based","dynamic","route","selection","support","system","rahman","zaman","kaiser"],"title":"Statistical approach based dynamic route selection support system","year":2017}