{"id":{"repo_id":"uoit","oai_identifier":"oai:ontariotechu.scholaris.ca:10155/676"},"canonical_url":"https://search.dev.ndltd.org/etd/uoit/oai:ontariotechu.scholaris.ca:10155/676","repository":{"repo_id":"uoit","name":"Ontario Institute of Technology","base_url":"https://ontariotechu.scholaris.ca/server/oai/request"},"display":{"title":"Development and validation of a driver distraction alert system for highway driving using a truck driving simulator","abstract":"Driver distraction is one of the major causes of vehicle accidents, injuries, fatalities and economical losses in Canada and across the world. The main objective of this thesis is to develop a real time driver distraction alert system that can generate early warning signals and prevent vehicle accidents. The proposed system is applied to a truck driving simulator by monitoring the driver response through the steering wheel and accelerator pedal during different driving experiments. In order to ensure an accurate prediction of the driver distraction, the simulation output of the truck driving simulator is compared to that of the commercial TruckSim® software using identical parameters of a given tractor semitrailer during similar driving conditions. Consequently, the driving speed and steering angle profiles for both simulation environments are then compared during standard test maneuvers and found to be in good agreement. Several distraction indicators are proposed in order to predict the driver distraction namely; the jerk profile, spikiness index and the rate of change for both the steering wheel angle and the accelerator pedal position. Several driving experiments are performed considering both the offline and real time assessment of a driver subjected to different types of distraction. The major finding of the thesis emphasizes the effectiveness of using steering wheel rate to estimate driver distraction. Moreover, in comparison to other techniques for predicting driver vigilance, the presented work requires low computational power and has a great potential for developing a real time simple system that can be affordable and reliable.","abstract_html":"Driver distraction is one of the major causes of vehicle accidents, injuries, fatalities and economical losses in Canada and across the world. The main objective of this thesis is to develop a real time driver distraction alert system that can generate early warning signals and prevent vehicle accidents. The proposed system is applied to a truck driving simulator by monitoring the driver response through the steering wheel and accelerator pedal during different driving experiments. In order to ensure an accurate prediction of the driver distraction, the simulation output of the truck driving simulator is compared to that of the commercial TruckSim® software using identical parameters of a given tractor semitrailer during similar driving conditions. Consequently, the driving speed and steering angle profiles for both simulation environments are then compared during standard test maneuvers and found to be in good agreement. Several distraction indicators are proposed in order to predict the driver distraction namely; the jerk profile, spikiness index and the rate of change for both the steering wheel angle and the accelerator pedal position. Several driving experiments are performed considering both the offline and real time assessment of a driver subjected to different types of distraction. The major finding of the thesis emphasizes the effectiveness of using steering wheel rate to estimate driver distraction. Moreover, in comparison to other techniques for predicting driver vigilance, the presented work requires low computational power and has a great potential for developing a real time simple system that can be affordable and reliable.","abstract_has_math":false,"creators":["Dababneh, Laith Faris"],"institution":"University of Ontario Institute of Technology","degree_name":"Master of Applied Science (MASc)","degree_level":null,"degree_discipline":"Automotive Engineering","degree_department":null,"school":null,"contributors":[],"advisors":["El-Gindy, Moustafa"],"committee_chairs":[],"committee_members":[],"year":2016,"date_issued":"2016-07-01","date_published":"2016-07-01","updated_at":"2026-07-24T05:35:20Z","subjects":["Driver vigilance","Driver distraction","Vigilance monitoring techniques","Driver alert systems","Crash avoidance"],"languages":["en"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/10155/676","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["El-Gindy, Moustafa"]},{"key":"dc:creator","label":"Author","values":["Dababneh, Laith Faris"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2016-09-09T15:25:02Z","2022-03-29T16:40:56Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2016-09-09T15:25:02Z","2022-03-29T16:40:56Z"]},{"key":"dc:date.issued","label":"Date","values":["2016-07-01"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Automotive Engineering"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Applied Science (MASc)"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Ontario Institute of Technology"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Driver vigilance","Driver distraction","Vigilance monitoring techniques","Driver alert systems","Crash avoidance"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://hdl.handle.net/10155/676"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Driver distraction is one of the major causes of vehicle accidents, injuries, fatalities and economical losses in Canada and across the world. The main objective of this thesis is to develop a real time driver distraction alert system that can generate early warning signals and prevent vehicle accidents. The proposed system is applied to a truck driving simulator by monitoring the driver response through the steering wheel and accelerator pedal during different driving experiments. In order to ensure an accurate prediction of the driver distraction, the simulation output of the truck driving simulator is compared to that of the commercial TruckSim® software using identical parameters of a given tractor semitrailer during similar driving conditions. Consequently, the driving speed and steering angle profiles for both simulation environments are then compared during standard test maneuvers and found to be in good agreement. Several distraction indicators are proposed in order to predict the driver distraction namely; the jerk profile, spikiness index and the rate of change for both the steering wheel angle and the accelerator pedal position. Several driving experiments are performed considering both the offline and real time assessment of a driver subjected to different types of distraction. The major finding of the thesis emphasizes the effectiveness of using steering wheel rate to estimate driver distraction. Moreover, in comparison to other techniques for predicting driver vigilance, the presented work requires low computational power and has a great potential for developing a real time simple system that can be affordable and reliable."]},{"key":"dc:title","label":"Title","values":["Development and validation of a driver distraction alert system for highway driving using a truck driving simulator"]}]}],"canonical_facts":{"dc:contributor.advisor":["El-Gindy, Moustafa"],"dc:creator":["Dababneh, Laith Faris"],"dc:date.accessioned":["2016-09-09T15:25:02Z","2022-03-29T16:40:56Z"],"dc:date.available":["2016-09-09T15:25:02Z","2022-03-29T16:40:56Z"],"dc:date.issued":["2016-07-01"],"dc:description.abstract":["Driver distraction is one of the major causes of vehicle accidents, injuries, fatalities and economical losses in Canada and across the world. The main objective of this thesis is to develop a real time driver distraction alert system that can generate early warning signals and prevent vehicle accidents. The proposed system is applied to a truck driving simulator by monitoring the driver response through the steering wheel and accelerator pedal during different driving experiments. In order to ensure an accurate prediction of the driver distraction, the simulation output of the truck driving simulator is compared to that of the commercial TruckSim® software using identical parameters of a given tractor semitrailer during similar driving conditions. Consequently, the driving speed and steering angle profiles for both simulation environments are then compared during standard test maneuvers and found to be in good agreement. Several distraction indicators are proposed in order to predict the driver distraction namely; the jerk profile, spikiness index and the rate of change for both the steering wheel angle and the accelerator pedal position. Several driving experiments are performed considering both the offline and real time assessment of a driver subjected to different types of distraction. The major finding of the thesis emphasizes the effectiveness of using steering wheel rate to estimate driver distraction. Moreover, in comparison to other techniques for predicting driver vigilance, the presented work requires low computational power and has a great potential for developing a real time simple system that can be affordable and reliable."],"dc:identifier.uri":["https://hdl.handle.net/10155/676"],"dc:language.iso":["en"],"dc:subject":["Driver vigilance","Driver distraction","Vigilance monitoring techniques","Driver alert systems","Crash avoidance"],"dc:title":["Development and validation of a driver distraction alert system for highway driving using a truck driving simulator"],"dc:type":["Thesis"],"thesis:degree_discipline":["Automotive Engineering"],"thesis:degree_name":["Master of Applied Science (MASc)"],"thesis:institution_name":["University of Ontario Institute of Technology"]},"updated_at":"2026-07-24T05:35:20Z"}