Analysis of Traffic Information Service Demand Characteristics on Expressway

CICTP 2017 ◽  
2018 ◽  
Author(s):  
Zhizhou Wu ◽  
Weina Fan ◽  
Xiao Xiao
2018 ◽  
Vol 14 (3) ◽  
pp. 155014771876784 ◽  
Author(s):  
Zongtao Duan ◽  
Lei Tang ◽  
Xuehui Gong ◽  
Yishui Zhu

Service recommendations help travelers locate en route traffic information service of interest in a timely manner. However, recommendations based on simple traffic information, such as the number of requests for the location of a facility, fail to consider an individual’s preferences. Most existing work on improving service recommendations has continued to utilize the same ratings and rankings of services without consideration of diverse users’ demands. The challenge remains to push forward the modeling of spatiotemporal trajectories to improve service recommendations. In this research, we proposed a new method to address the above challenge. We developed a personalized service-trajectory correlation that could recommend the most appropriate services to users. In addition, we proposed the use of “congeniality” probability to measure the service demand similarity of two travelers based on their service-visiting behaviors and preferences. We employed a clustering-based scheme, taking into account the spatiotemporal dimensions to refine the trajectories at each spot where travelers stayed at a certain point in time. Experiments were conducted employing a real global positioning system–based dataset. The test results demonstrated that our proposed approach could reduce the deviation of the trajectory measurement to 10% and enhance the success rates of the service recommendations to 60%.


2015 ◽  
Vol 30 (3) ◽  
pp. 229-244 ◽  
Author(s):  
Rikard Lindgren ◽  
Owen Eriksson ◽  
Kalle Lyytinen

The idea of an ecosystem suggests a holistic framing of how heterogeneous actors relate to one another and of the dynamics of their relationships. Because of the dynamics some relationships will become uncertain, posing significant challenge to the identity of participating organizations. Unfortunately, the Information Systems (IS) literature has not examined how organizations develop and negotiate their identities during ecosystem evolution. We fill this void by exploring identity challenges that Swedish Road Administration (SRA) faced while implementing the Radio Data System – Traffic Message Channel (RDS – TMC) traffic information service. Through a longitudinal case study we follow how SRA's inherited expectations, guiding norms, and standards of sense-giving about its identity prevented it from becoming a flexible service provider within an emerging mobile ecosystem. We record a constant clash – the identity tension – between the old inherited identity of a public road administrator and the aspiring new identity of a digital service provider. To enact a successful identity change, SRA had to engage in a series of change episodes whereby it deliberately implemented new routines that forged novel relationships with actors within the ecosystem. This permitted SRA to gradually align its identity to the evolving needs of the RDS-TMC service ecosystem. Our findings suggest that deliberate attempts to implement innovative mobile services – especially those involving public-private partnerships – trigger intriguing identity ambiguities and role dilemmas, and future research should therefore focus on effective strategies to identify, manage, and resolve inherent identity tensions.


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