Smartphones are increasingly becoming popular. All Smartphones have rich set of sensors, which can be used to provide driver assistant services. Services such as road traffic information and road condition to provide such services, there is need of sensors such as GPS, Gyroscope, Accelerometer. Now day's smartphones are coming with this sensor. Smartphone camera sensor, one of the most powerful and neglected Sensor can be used to analyses traffic scene. In this paper we have provided surveys on different approaches to provide collaborative driver assistant service and analyze road surface disruption.

1. Koukoumidis, Emmanouil, Margaret Martonosi, and Li-Shiuan Peh. "Leveraging smartphone cameras for collaborative road advisories. " Mobile Computing, IEEE Transactions on 11. 5 (2012): 707-723.
2. Martinez, Fernando, Luis Carlos Gonzalez, and Manuel Ricardo Carlos. "Identifying Roadway Surface Disruptions Based on Accelerometer Patterns. "Latin America Transactions, IEEE (Revista IEEE America Latina) 12. 3 (2014): 455-461.
3. Mohan, Prashanth, Venkata N. Padmanabhan, and Ramachandran Ramjee. "Nericell: rich monitoring of road and traffic conditions using mobile smartphones. " Proceedings of the 6th ACM conference on Embedded network sensor systems. ACM, 2008.
4. Mednis, Artis, et al. "Roadmic: Road surface monitoring using vehicular sensor networks with microphones. " Networked Digital Technologies. Springer Berlin Heidelberg, 2010. 417-429. .
5. Eriksson, Jakob, et al. "The pothole patrol: using a mobile sensor network for road surface monitoring. " Proceedings of the 6th international conference on Mobile systems, applications, and services. ACM, 2008.
6. Koukoumidis, Emmanouil, Li-Shiuan Peh, and Margaret Rose Martonosi. "Signalguru: leveraging mobile phones for collaborative traffic signal schedule advisory. " Proceedings of the 9th international conference on Mobile systems, applications, and services. ACM, 2011.
7. Hull, Bret, et al. "CarTel: a distributed mobile sensor computing system. " Proceedings of the 4th international conference on Embedded networked sensor systems. ACM, 2006.
8. Asadi, Behrang, and Ardalan Vahidi. "Predictive cruise control: Utilizing upcoming traffic signal information for improving fuel economy and reducing trip time. " Control Systems Technology, IEEE Transactions on 19. 3 (2011): 707-714.
9. Gong, Jianwei, et al. "The recognition and tracking of traffic lights based on color segmentation and camshift for intelligent vehicles. " Intelligent Vehicles Symposium (IV), 2010 IEEE. IEEE, 2010

Mobile Sensor Pervasive Computing Intelligent Transportation System.