Developing next generation lane-changing impact models for traditional, connected, and autonomous vehicles (Ref: ABCE-YA1-24)

Lane-changing exerts significant impact on traffic flow characteristics and traffic safety. A proper understanding of lane-changing impact is crucial for assessing existing models and developing models for connected vehicles and autonomous vehicles.

This PhD project intends to develop lane-changing impact models for different vehicle types and embed them in microsimulations tools for scenario testing.

94% of Loughborough’s research impact is rated world-leading or internationally excellent. REF 2021

Supervisors

• Primary Supervisor: Yasir Ali

Entry requirements

Applicants should have, or expect to achieve, at least a 2:1 honours degree (or equivalent) in relevant subject including, but not limited to, civil engineering, transport engineering, computer science, or control. A relevant master’s degree and/or experience is desirable. The ideal candidate will have understanding and experience of programming, a good level of mathematical understanding, and excellent written and verbal communication.

English language requirements

Applicants must meet the minimum English language requirements. Further details are available on the International website.

How to apply

All applications must be made online and must include a completed studentship application form (instead of a personal statement) and a two-page research proposal based on the project description describing how you would approach the project and what methods you would use. Under programme name, please select ‘Architecture, Building and Civil Engineering (Built Environment)’. Please quote reference number ABCE-YA1-24.

To avoid delays in processing your application, please ensure that you submit the minimum supporting documents including an up-to-date CV, but a personal statement is not required.

ABCE will use these selection criteria to make a decision on your application.

Apply now