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|Title:||PERFORMANCE EVALUATION OF INTELLIGENT TRANSPORT SYSTEM IN DELHI|
|Authors:||Rao, Chinta Sudhakar|
|Keywords:||CIVIL ENGINEERING;INTELLIGENT TRANSPORT SYSTEM;DELHI;TRAFFIC CONTROL STRATEGIES|
|Abstract:||There has been increasing awareness of the negative effects of road traffic, especially in terms of accidents and environmental impairment. This awareness provides the public support for establishing modern traffic system management using advanced traffic control strategies and technologies. An indication of the importance of road traffic is the portion of total passenger and goods transport carried by the roads. Probably in all countries this portion is much more than fifty percent. Although the percentage of the motorways (expressways) in terms of total road lengths is low, the percentage of vehicle mileage on the motorways is disproportionately high. Increasing prosperity, changes in land use patterns, and changes in traffic-generating behavior of the various social groups causes growth of road traffic. As Intelligent Transport Systems are information technology oriented devices, which offer drivers a wide range of information on the performance of the transport system. This information has a great influence on the user behavior. Therefore, it is important to investigate driver response to existing ITS modules since it is not clear what types of drivers are using them and how they are influencing. This paper focuses on user acceptance to the advanced information's in an urban road network (New Delhi), and investigates the public's perceived effectiveness and usefulness of these signs through the use of revealed preference questionnaire surveys. This report describes the application of a number of statistical analysis techniques undertaken to estimate the impact of various ITS modules such as APMS, VMS, and ATIS in Delhi. Major findings of a survey of drivers or users conducted in Delhi are presented. Models relating driver awareness, usage and understanding of ITS modules to various driver and trip characteristics were developed. A study of the demand for specific iii types of traffic or traveler information was also undertaken in order to understand the potential market for these systems as well as how the users will affect transport choices. Drivers were found to be non-homogenous with respect to their information needs. Several trip and personal characteristics affd&ing drivers or users desire for different types of information were identified. Many of these factors were found to be directly related to the drivers or users perceived knowledge of the intelligent transport system. Overall, the study would be useful in improving the design of future ITS incorporating the user behavior for local conditions.|
|Research Supervisor/ Guide:||Jain, S. S.|
|Appears in Collections:||MASTERS' DISSERTATIONS (Civil Engg)|
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