Personalized Road Networks Routing with Road Safety Consideration: A Case Study in Manchester

Abstract

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.

Sustainable Smart Parking Solution in a Campus Environment

“…The mobile application was also evaluated regarding its usability. The participants mentioned in the above section answered a second survey related to how easy and practical they felt the application was, using the System Usability Scale [19] to measure that. The 10 questions are shown in the Table 5.…”

“…The users have 5 answer options: 'Strongly Agree', 'Agree', 'Neutral', 'Disagree' and 'Strongly Disagree', that correspond from 1 to 5 respectively. The final score is measured using the methodology described in [19], presented below:…”