Quality of Bus Services Performance: Benefits of Real Time Passenger Information Systems

1. Banister, D., Stead, D., Steen, P., Akerman, J., Dreborg, K. & Nijkamp, P. (2000). European transportpolicy and sustainable mobility. London: Spon Press.Search in Google Scholar

2. Bristow, A., Pearman, A., & Shires, J. (1997). An assessment of advanced transport telematics evaluation procedures. Transport Reviews, 17(3), 177-205.10.1080/01441649708716981Search in Google Scholar

3. Cascajo, R. (2004). Socio-environmental benefits of rail urban projects: A European benchmarking. In Proceedings of the European Transport Conference, 2004, 4-6 October. Strasbourg: ETC.Search in Google Scholar

4. Daskalakis, N., & Stathopoulos, A. (2008). Users’ perceptive evaluation of bus arrival time deviations in stochastic networks. Journal of Public Transportation, 11(4), 25-38.10.5038/2375-0901.11.4.2Search in Google Scholar

5. Delle Site, P., Filippi, F. (2009). Weighting methods in multi-attribute assessment of transport projects. European Transport Research Review, 1, 199-206.10.1007/s12544-009-0018-1Search in Google Scholar

6. EBSF. (2012). Evaluation report of use cases. (Deliverable 4.2.3 Ed.)Search in Google Scholar

7. EBSF. (2008-2012). European Bus System of the Future. VII Framework Programme. European Commission. Retrieved 25th September, 2012, from http://www.ebsf.eu/index.php/objectivesSearch in Google Scholar

8. Hounsell, N. B., Shrestha, B. P., Piao, J. & McDonald, M. (2009). Review of urban traffic management and the impacts of new vehicle technologies. IET Intelligent Transport Systems, 3(4), 419-428.10.1049/iet-its.2009.0046Search in Google Scholar

9. Lappin, J. (2000). What have we learned about advanced traveler information systems and customer satisfaction? Chapter 4. In What have we learned about ITS? (pp. 66-85). Washington D.C.: Federal Highway Administration, U.S Department of Transportation.Search in Google Scholar

10. Monzon, A., & de la Hoz, D. (2009). Efectos sobre la movilidad de la dinámica territorial de Madrid. Urban, 14, 58-71.Search in Google Scholar

11. Monzón, A., Pardeiro, A., & Vega, L. (2007). Reducing car trip and pollutant emissions through strategic transport planning in Madrid, Spain. Highway and Urban Environment, 12(1), 81-90.10.1007/978-1-4020-6010-6_9Search in Google Scholar

12. Politis, I., Papaioannou, P., Basbas, S. & Dimitriadis, N. (2010). Evaluation of a bus passenger information system from the users’ point of view in the city of Thessaloniki, Greece. Research inTransportation Economics, 29 (1), 249-255.10.1016/j.retrec.2010.07.031Search in Google Scholar

13. Tang, L., & Thakuriah, P. (2012). Ridership effects of real-time bus information system: A case study in the city of Chicago. Transportation Research Part C: Emerging Technologies, 22(0), 146-161.10.1016/j.trc.2012.01.001Search in Google Scholar

14. Tyrinopoulos, Y. & Antoniou, C. (2008). Public transit user satisfaction: Variability and policy implications. Transport Policy, 15(4), 260-272.10.1016/j.tranpol.2008.06.002Search in Google Scholar

• Ego Vehicle Lane Detection and Key Point Determination Using Deep Convolutional Neural Networks and Inverse Projection Mapping
• Fractional Vehicle Ownership and Revenue Generation Through Blockchain Asset Tokenization
• A Microscopic Analysis of the Relationship Between Prior Knowledge About Self-Driving Cars and the Public Acceptance: A Survey in the US
• Trends and Open Research Issues in Intelligent Internet of Vehicles
• Classification of the Condition of Pavement with the Use of Machine Learning Methods
• A Model for Identifying Road Risk Class
• Railway Transport Adaptation Strategies to Climate Change at High Latitudes: A Review of Experience from Canada, Sweden and China
• Analysis of Transport Conditions for Frozen Food on the Way from the Shop to Home