TY  - JOUR
PY  - 2023//
TI  - Optimisation of variable speed limits at the freeway lane drop bottleneck
JO  - Transportmetrica A: transport science
A1  - Zhang, Chunbo
A1  - Chung, Edward
A1  - Sabar, Nasser R.
A1  - Bhaskar, Ashish
A1  - Ma, Yingfang
SP  - e2033878
EP  - e2033878
VL  - 19
IS  - 2
N2  - The primary objectives of this study were to use variable speed limits (VSL) upstream of freeway lane drop to maintain capacity and reduce congestion. As driving behaviours are the main reasons leading to capacity drop and the microscopic simulation can reflect driving behaviours precisely, microscopic simulations were first used to test lane drop scenarios. The objective function and constraints determined according to traffic engineering practice were optimised using a modified genetic algorithm (GA) based on microscopic simulation to get the optimal speed limit combination. The modified GA can guarantee the solution diversity and optimal results. Then, the cell transmission model, a macroscopic flow model, was used to crosscheck the simulated results. Both microscopic and macroscopic analysis results demonstrated that VSL could only improve lane drop traffic efficiency if speed limits were set appropriately. This study provided a new process from microscopic to macroscopic aspects for analysing traffic problems.<p />  <p>Language: en</p>
LA  - en
SN  - 2324-9935
UR  - http://dx.doi.org/10.1080/23249935.2022.2033878
ID  - ref1
ER  -