Congestion　pricing　has　been　proposed　and　investigated　as　an　effective　means　of　optimizing　traffic　assignment,　alleviating　congestion,　and　enhancing　traffic　operation　efficiencies.　Meanwhile,　advanced　traffic　information　dissemination　systems,　such　as　Advanced　Traveler　Information　System　(ATIS),　have　been　developed　and　deployed　to　provide　real-time,　accurate,　and　complete　network-wide　traffic　information　to　facilitate　travelers＇　trip　plans　and　routing　selections.　Recent　advances　in　ATIS　technologies,　especially　telecommunication　technology,　allow　dynamic,　personalized,　and　multimodal　traffic　information　to　be　disseminated　and　impact　travelers＇　choices　of　departure　times,　alternative　routes,　and　travel　modes　in　the　context　of　congestion　pricing.　However,　few　studies　were　conducted　to　determine　the　impact　of　traffic　information　dissemination　on　toll　road　utilizations.　In　this　study,　the　effects　of　the　provisions　of　traffic　information　on　toll　road　usage　are　investigated　and　analyzed　based　on　a　stated　preference　survey　conducted　in　Texas.　A　Bayesian　Network　(BN)-based　approach　is　developed　to　discover　travelers＇　opinions　and　preferences　for　toll　road　utilization　supported　by　network-wide　traffic　information　provisions.　The　probabilistic　interdependencies　among　various　attributes,　including　routing　choice,　departure　time,　traffic　information　dissemination　mode,　content,　coverage,　commuter　demographic　information,　and　travel　patterns,　are　identified　and　their　impacts　on　toll　road　usage　are　quantified.　The　results　indicate　that　the　BN　model　performs　reasonably　well　in　travelers＇　preference　classifications　for　toll　road　utilization　and　knowledge　extraction.　The　BN　Most　Probable　Explanation　(MPE)　measurement,　probability　inference　and　variable　influence　analysis　results　illustrate　travelers　using　highway　advisory　radio　and　internet　as　their　primary　mode　of　receiving　traffic　information　are　more　likely　to　comply　with　routing　recommendations　and　use　toll　roads.　Traffic　information　regarding　congested　roads,　road　hazard　warnings,　and　accident　locations　is　of　great　interest　to　travelers,　who　tend　to　acquire　such　information　and　use　toll　roads　more　frequently.　Travel　time　formation　for　home-based　trips　can　considerably　enhance　travelers＇　preferences　for　toll　road　usage.　Female　travelers　tend　to　seek　traffic　information　and　utilize　toll　roads　more　frequently.　As　expected,　the　information　provided　at　both　pre-trip　and　en-route　stages　can　positively　influence　travelers＇　preferences　for　toll　road　usage.　The　proposed　methodology　and　research　findings　advance　our　previous　study　and　provide　insight　into　travelers＇　behavioral　tendencies　concerning　toll　road　utilization　in　support　of　traffic　information　dissemination.　(C)　2015　Elsevier　Ltd.　All　rights　reserved.