As a fully distributed sensor, the phase-sensitive optical time domain reflectometer (ϕ-OTDR) has attracted remarkable attention in real-time vibration detection. We present a dual-channel ϕ-OTDR (DC-ϕ-OTDR), formed by two single-channel ϕ-OTDRs (SC-ϕ-OTDR), to monitor running vehicles on a highway. In the double-channel system, an improved algorithm (will be referred to as the CDM&V) is proposed to alleviate the strong dependence of vibration detection on the differential step as in the widely used conventional differential method (CDM). The DC-ϕ-OTDR is first tested over campus road before applying it to locate moving vehicles on the highway. For comparison purposes, both the DC-ϕ-OTDR and SC-ϕ-OTDR are used to monitor the vehicles with respective signal processing methods of the CDM and CDM&V. The experimental results at campus show that the dual-path scheme can undoubtedly reduce vibration misjudgment relative to the single one due to the very small possibility of false measurements occurred simultaneously at the same location in both channels. In signal demodulation, the CDM&V greatly relaxes the constraints on the differencing interval for identifying the vehicle-caused vibration. With a step size of 5 or lower, the CDM fails to locate the running vehicle at z=~8.5 km, but the CDM&V successfully demonstrates the feasible capability of locating the vibration. With an increase in the differential interval, both the CDM and CDM&V are able to detect the vibration signal, but with the latter showing a much better noise suppression performance and hence a larger SNR. Importantly, in comparison with the SC-ϕ-OTDR system, the DC-ϕ-OTDR exhibits a considerable enhanced SNR for the detection signal regardless of which processing algorithm (i.e., CDM, CDM&V) is used. The vehicle locations positioned by the DC-ϕ-OTDR are confirmed by the monitoring cameras. magnetic sensor, inductive loops) and the latter being installed at different places on the highways (e.g., radar sensor, cameras) [1][2][3][4]. These sensor-based technologies of traffic management effectively improve road safety and reduce highway congestion. It should be noted, however, that these sensors can only sense in a discrete manner and should not be deployed in full scale. Luckily, significant progress has been made in developing distributed optical fiber sensing (DOFS) systems, making them a promising approach for the vibration-sensitive measurement of transportation, due to their fully distributed nature [5][6][7]. The DOFS can locate the external dynamic disturbances at any position of optical fiber with meter-scale spatial resolution over tens of kilometers [8]. Importantly, long distance coverage can be economically achieved with optical fiber as the equivalent sensing arrays.Generally, the DOFS can be divided into Brillouin-based DOFS and Rayleigh-based DOFS in terms of vibration detection. Brillouin-based DOFS is limited to the applications of low frequency perturbations over a relatively short sensing length due to its large amounts of time consu...