Manchester Metropolitan University's Research Repository

    Personalized road networks routing with road safety consideration: a case study in Manchester

    Hayes, Sophie, Wang, Shen and Djahel, Soufiene ORCID logoORCID: https://orcid.org/0000-0002-1286-7037 (2020) Personalized road networks routing with road safety consideration: a case study in Manchester. In: 2020 IEEE International Smart Cities Conference (ISC2), 28 September 2020 - 01 October 2020, Virtual.

    Accepted Version
    Download (1MB) | Preview


    Urban road congestion is getting worse with the increasing population and car ownership. Traditional solutions, such as increasing road capacity and dynamic control and adaptation of traffic lights, rely heavily on infrastructure support, which limits their wider adoption and practicality. Vehicle navigation systems, such as Google Maps, TomTom, and AutoNavi, are widely used due to the popularization of smartphones. However, these systems normally provide routes with either shortest travel distance or fastest current travel speed, without any consideration of the drivers' route preferences. For example, the safety level of a road is also very important as it often leads to non-recurring congestion that is more difficult to avoid. In this paper, we propose, implement, and test a personalized routing application that allows end-users to flexibly adjust their route preferences among travel distance, estimated travel time, and the safety level. We present the validation results of our application using a realistic dataset from the city of Manchester in England.

    Impact and Reach


    Activity Overview
    6 month trend
    6 month trend

    Additional statistics for this dataset are available via IRStats2.


    Repository staff only

    Edit record Edit record