Weigh-in-Motion Applications for Intelligent Transportation Systems-Commercial Vehicle Operations: Evaluation Using WESTA

2002 ◽  
Vol 1816 (1) ◽  
pp. 87-95 ◽  
Author(s):  
Derek Trischuk ◽  
Curtis Berthelot ◽  
Brian Taylor
Keyword(s):  
Intelligent Transportation Systems ◽  
Commercial Vehicle ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Weigh In Motion

Opportunities for Progressive Deployment of Intelligent Transportation Systems/Automated Highway System Technologies in Support of Commercial Vehicle Operations

1998 ◽  
Vol 1651 (1) ◽  
pp. 107-110 ◽  
Author(s):  
Bjorn Klingenberg
Keyword(s):  
Intelligent Transportation Systems ◽  
Commercial Vehicle ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Transportation Safety ◽  
Operating Efficiency ◽  
Department Of Transportation ◽  
Great Progress ◽  
Automated Highway ◽  
Highway System

The U.S. Department of Transportation has undertaken the Intelligent Vehicle Initiative (IVI) to improve transportation safety and productivity by accelerating the progressive deployment of intelligent transportation systems/automated highway system (ITS/AHS) technologies. Commercial vehicle operations (CVO) stand a unique chance to benefit from this initiative. Truck manufacturers and the trucking industry have made great progress in raising the standards of safety and operating efficiency over the past few years, but further significant advancements can be accomplished only by increased automation of vehicle controls and operations. That opportunity is addressed.

Ohio Motor-Carrier Preferences for Intelligent Transportation Systems/Commercial Vehicle Operations Innovations

1996 ◽  
Vol 1522 (1) ◽  
pp. 69-76
Author(s):  
Mark R. McCord ◽  
Dario Hidalgo
Keyword(s):  
Intelligent Transportation Systems ◽  
Rating Scale ◽  
Commercial Vehicle ◽  
Intelligent Transportation ◽  
Electronic Data Interchange ◽  
Transportation Systems ◽  
Government Agencies ◽  
Institutional Perspective ◽  
Motor Carrier ◽  
One Stop

The results of a survey sent to 400 motor carriers registered with the Ohio Trucking Association are reported. The survey was designed to lend insight on motor-carrier preferences for seven innovations of intelligent transportation systems (ITS) that deal with the interface between government agencies and commercial vehicle operators. A rating scale was used and interpreted in such a way that it allowed for more meaningful and theoretically acceptable analyses than have been seen to date in the field of ITS/commercial vehicle operations (CVO). The 93 responses to the survey showed a marked preference for the innovations. The respondents preferred innovations facilitating application processes to those reducing en route time. Within the category of application processes they preferred one-stop operations to electronic data interchange concepts. Within the one-stop operations category they preferred the model most difficult to implement from an institutional perspective, one in which the government agencies would consolidate their authority in a single motor-carrier agency. The results did not depend on the size of the carrier or on the carrier's status as private or for-hire. The importance and limitations of these findings are discussed, as well as why they are surprising.

Quality indicator of the smart city transportation and logistics system

2020 ◽  
Vol 19 (11) ◽  
pp. 2116-2135
Author(s):  
G.V. Savin
Keyword(s):  
Intelligent Transportation Systems ◽  
Smart City ◽  
Urban Areas ◽  
Human Life ◽  
Life Quality ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Logistics System ◽  
Organization And Management

Subject. The article considers functioning and development of process flows of transportation and logistics system of a smart city. Objectives. The study identifies factors and dependencies of the quality of human life on the organization and management of stream processes. Methods. I perform a comparative analysis of previous studies, taking into account the uniquely designed results, and the econometric analysis. Results. The study builds multiple regression models that are associated with stream processes, highlights interdependent indicators of temporary traffic and pollution that affect the indicator of life quality. However, the identified congestion indicator enables to predict the time spent in traffic jams per year for all participants of stream processes. Conclusions. The introduction of modern intelligent transportation systems as a component of the transportation and logistics system of a smart city does not fully solve the problems of congestion in cities at the current rate of urbanization and motorization. A viable solution is to develop cooperative and autonomous intelligent transportation systems based on the logistics approach. This will ensure control over congestion, the reduction of which will contribute to improving the life quality of people in urban areas.

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